Builds a tidy, executable ledger from the actual formals of every registered entry point. Each argument is classified according to the strongest honest evidence contract available for that method: direct oracle/engine equality, frozen statistical fixtures, recovery/internal validation, delegated forwarding, a supported extension, or an explicit rejection boundary. Consequently a newly added formal cannot silently disappear from the audit: package tests require every current formal to occur exactly once here.
Examples
argument_coverage()
#> method kind argument
#> 161 gimme estimator data
#> 162 gimme estimator vars
#> 163 gimme estimator id
#> 165 gimme estimator day
#> 166 gimme estimator beep
#> 167 gimme estimator min_obs
#> 168 gimme estimator subject
#> 182 gimme estimator seed
#> 170 gimme estimator standardize
#> 164 gimme estimator time
#> 180 gimme estimator cfi_cutoff
#> 177 gimme estimator rmsea_cutoff
#> 178 gimme estimator srmr_cutoff
#> 173 gimme estimator paths
#> 174 gimme estimator exogenous
#> 169 gimme estimator ar
#> 171 gimme estimator groupcutoff
#> 172 gimme estimator subcutoff
#> 175 gimme estimator hybrid
#> 176 gimme estimator VAR
#> 179 gimme estimator nnfi_cutoff
#> 181 gimme estimator n_excellent
#> 183 gimme estimator group_correct
#> 184 gimme estimator indiv_correct
#> 185 gimme estimator alpha
#> 186 gimme estimator stop_crit
#> 187 gimme estimator subgroup
#> 188 gimme estimator outcome
#> 189 gimme estimator conv_vars
#> 190 gimme estimator mult_vars
#> 191 gimme estimator lv_model
#> 192 gimme estimator lasso_model_crit
#> 193 gimme estimator ms_allow
#> 194 gimme estimator ordered
#> 195 gimme estimator dir_prop_cutoff
#> 196 gimme estimator out
#> 197 gimme estimator sep
#> 198 gimme estimator header
#> 199 gimme estimator plot
#> 200 gimme estimator sub_feature
#> 201 gimme estimator sub_method
#> 202 gimme estimator sub_sim_thresh
#> 203 gimme estimator confirm_subgroup
#> 204 gimme estimator conv_length
#> 205 gimme estimator conv_interval
#> 206 gimme estimator mean_center_mult
#> 207 gimme estimator diagnos
#> 208 gimme estimator ms_tol
#> 209 gimme estimator lv_estimator
#> 210 gimme estimator lv_scores
#> 211 gimme estimator lv_miiv_scaling
#> 212 gimme estimator lv_final_estimator
#> 35 graphical_var estimator data
#> 36 graphical_var estimator vars
#> 37 graphical_var estimator id
#> 38 graphical_var estimator day
#> 39 graphical_var estimator beep
#> 40 graphical_var estimator lags
#> 43 graphical_var estimator scale
#> 44 graphical_var estimator center_within
#> 55 graphical_var estimator delete_missings
#> 60 graphical_var estimator min_obs
#> 61 graphical_var estimator subject
#> 59 graphical_var estimator verbose
#> 41 graphical_var estimator n_lambda
#> 42 graphical_var estimator gamma
#> 45 graphical_var estimator lambda_min_ratio
#> 46 graphical_var estimator lambda_min_kappa
#> 47 graphical_var estimator lambda_min_beta
#> 48 graphical_var estimator penalize_diagonal
#> 49 graphical_var estimator lambda_beta
#> 50 graphical_var estimator lambda_kappa
#> 51 graphical_var estimator regularize_mat_beta
#> 52 graphical_var estimator regularize_mat_kappa
#> 53 graphical_var estimator maxit_in
#> 54 graphical_var estimator maxit_out
#> 56 graphical_var estimator likelihood
#> 57 graphical_var estimator ebic_tol
#> 58 graphical_var estimator mimic
#> 62 graphical_var_each estimator data
#> 63 graphical_var_each estimator vars
#> 64 graphical_var_each estimator id
#> 65 graphical_var_each estimator day
#> 66 graphical_var_each estimator beep
#> 67 graphical_var_each estimator min_obs
#> 68 graphical_var_each estimator ...
#> 240 ml estimator data
#> 243 ml estimator id
#> 244 ml estimator day
#> 245 ml estimator beep
#> 261 ml estimator ...
#> 248 ml estimator estimator
#> 259 ml estimator standardize
#> 254 ml estimator alpha
#> 241 ml estimator outcome
#> 260 ml estimator keep_fits
#> 242 ml estimator predictors
#> 246 ml estimator task
#> 247 ml estimator model
#> 249 ml estimator compare
#> 250 ml estimator test_prop
#> 251 ml estimator min_train
#> 252 ml estimator min_test
#> 253 ml estimator lambda
#> 255 ml estimator k
#> 256 ml estimator n_components
#> 257 ml estimator max_iter
#> 258 ml estimator tol
#> 69 mlvar estimator data
#> 70 mlvar estimator vars
#> 71 mlvar estimator id
#> 72 mlvar estimator day
#> 73 mlvar estimator beep
#> 74 mlvar estimator lags
#> 79 mlvar estimator scale
#> 85 mlvar estimator min_obs
#> 86 mlvar estimator subject
#> 95 mlvar estimator ...
#> 82 mlvar estimator verbose
#> 75 mlvar estimator estimator
#> 76 mlvar estimator temporal
#> 77 mlvar estimator contemporaneous
#> 78 mlvar estimator AR
#> 80 mlvar estimator scaleWithin
#> 81 mlvar estimator nCores
#> 83 mlvar estimator lag
#> 84 mlvar estimator standardize
#> 87 mlvar estimator engine
#> 88 mlvar estimator standardize_mode
#> 89 mlvar estimator missing
#> 90 mlvar estimator compare_to_lags
#> 91 mlvar estimator true_means
#> 92 mlvar estimator detrend
#> 93 mlvar estimator na_rm
#> 94 mlvar estimator orthogonal
#> 96 mlvar_bayes estimator data
#> 97 mlvar_bayes estimator vars
#> 98 mlvar_bayes estimator id
#> 99 mlvar_bayes estimator day
#> 100 mlvar_bayes estimator beep
#> 101 mlvar_bayes estimator lags
#> 105 mlvar_bayes estimator scale
#> 114 mlvar_bayes estimator min_obs
#> 115 mlvar_bayes estimator subject
#> 109 mlvar_bayes estimator n_iter
#> 110 mlvar_bayes estimator n_burnin
#> 111 mlvar_bayes estimator n_chains
#> 112 mlvar_bayes estimator thin
#> 113 mlvar_bayes estimator seed
#> 116 mlvar_bayes estimator verbose
#> 102 mlvar_bayes estimator temporal
#> 103 mlvar_bayes estimator contemporaneous
#> 106 mlvar_bayes estimator scaleWithin
#> 104 mlvar_bayes estimator residual
#> 107 mlvar_bayes estimator tinterval
#> 108 mlvar_bayes estimator impute
#> 117 mlvar_mplus estimator data
#> 118 mlvar_mplus estimator vars
#> 119 mlvar_mplus estimator id
#> 120 mlvar_mplus estimator day
#> 121 mlvar_mplus estimator beep
#> 122 mlvar_mplus estimator lags
#> 126 mlvar_mplus estimator scale
#> 133 mlvar_mplus estimator min_obs
#> 134 mlvar_mplus estimator subject
#> 137 mlvar_mplus estimator ...
#> 136 mlvar_mplus estimator verbose
#> 123 mlvar_mplus estimator temporal
#> 124 mlvar_mplus estimator contemporaneous
#> 127 mlvar_mplus estimator scaleWithin
#> 125 mlvar_mplus estimator nCores
#> 128 mlvar_mplus estimator MplusSave
#> 129 mlvar_mplus estimator MplusName
#> 130 mlvar_mplus estimator iterations
#> 131 mlvar_mplus estimator chains
#> 132 mlvar_mplus estimator signs
#> 135 mlvar_mplus estimator workdir
#> 226 rolling_graphical_var estimator data
#> 227 rolling_graphical_var estimator vars
#> 228 rolling_graphical_var estimator id
#> 229 rolling_graphical_var estimator day
#> 230 rolling_graphical_var estimator beep
#> 233 rolling_graphical_var estimator scale
#> 234 rolling_graphical_var estimator center_within
#> 235 rolling_graphical_var estimator delete_missings
#> 236 rolling_graphical_var estimator min_obs
#> 237 rolling_graphical_var estimator subject
#> 239 rolling_graphical_var estimator ...
#> 231 rolling_graphical_var estimator window_size
#> 232 rolling_graphical_var estimator step
#> 238 rolling_graphical_var estimator keep_fits
#> 213 rolling_var estimator data
#> 214 rolling_var estimator vars
#> 215 rolling_var estimator id
#> 216 rolling_var estimator day
#> 217 rolling_var estimator beep
#> 220 rolling_var estimator scale
#> 221 rolling_var estimator center_within
#> 222 rolling_var estimator delete_missings
#> 223 rolling_var estimator min_obs
#> 224 rolling_var estimator subject
#> 218 rolling_var estimator window_size
#> 219 rolling_var estimator step
#> 225 rolling_var estimator keep_fits
#> 138 usem estimator data
#> 139 usem estimator vars
#> 140 usem estimator id
#> 142 usem estimator day
#> 143 usem estimator beep
#> 144 usem estimator min_obs
#> 145 usem estimator subject
#> 160 usem estimator seed
#> 159 usem estimator estimator
#> 146 usem estimator temporal
#> 147 usem estimator contemporaneous
#> 158 usem estimator standardize
#> 141 usem estimator time
#> 148 usem estimator residual_cov
#> 149 usem estimator trim
#> 150 usem estimator trim_alpha
#> 151 usem estimator trim_fit_criteria
#> 152 usem estimator cfi_cutoff
#> 153 usem estimator tli_cutoff
#> 154 usem estimator rmsea_cutoff
#> 155 usem estimator srmr_cutoff
#> 156 usem estimator paths
#> 157 usem estimator exogenous
#> 1 var estimator data
#> 2 var estimator vars
#> 3 var estimator id
#> 4 var estimator day
#> 5 var estimator beep
#> 6 var estimator lags
#> 7 var estimator scale
#> 8 var estimator center_within
#> 9 var estimator delete_missings
#> 10 var estimator min_obs
#> 11 var estimator subject
#> 19 var_bayes estimator data
#> 20 var_bayes estimator vars
#> 21 var_bayes estimator id
#> 22 var_bayes estimator day
#> 23 var_bayes estimator beep
#> 24 var_bayes estimator lags
#> 25 var_bayes estimator scale
#> 26 var_bayes estimator center_within
#> 32 var_bayes estimator min_obs
#> 33 var_bayes estimator subject
#> 27 var_bayes estimator n_iter
#> 28 var_bayes estimator n_burnin
#> 29 var_bayes estimator n_chains
#> 30 var_bayes estimator thin
#> 31 var_bayes estimator seed
#> 34 var_bayes estimator verbose
#> 12 var_each estimator data
#> 13 var_each estimator vars
#> 14 var_each estimator id
#> 15 var_each estimator day
#> 16 var_each estimator beep
#> 17 var_each estimator min_obs
#> 18 var_each estimator ...
#> 292 compare workflow data
#> 293 compare workflow vars
#> 295 compare workflow id
#> 296 compare workflow day
#> 297 compare workflow beep
#> 299 compare workflow keep_fits
#> 294 compare workflow estimators
#> 298 compare workflow estimator_args
#> 300 forecast workflow data
#> 301 forecast workflow vars
#> 303 forecast workflow id
#> 304 forecast workflow day
#> 305 forecast workflow beep
#> 311 forecast workflow scale
#> 312 forecast workflow center_within
#> 313 forecast workflow delete_missings
#> 315 forecast workflow ...
#> 302 forecast workflow estimator
#> 308 forecast workflow step
#> 314 forecast workflow keep_fits
#> 310 forecast workflow block_size
#> 306 forecast workflow initial
#> 307 forecast workflow assess
#> 309 forecast workflow n_splits
#> 262 preprocess workflow data
#> 263 preprocess workflow vars
#> 264 preprocess workflow id
#> 265 preprocess workflow day
#> 266 preprocess workflow beep
#> 267 preprocess workflow scale
#> 268 preprocess workflow center_within
#> 271 preprocess workflow delete_missings
#> 272 preprocess workflow min_obs
#> 273 preprocess workflow subject
#> 269 preprocess workflow detrend
#> 270 preprocess workflow checks
#> 274 preprocess workflow trend_alpha
#> 275 preprocess workflow ar_threshold
#> 276 preprocess workflow mean_shift_threshold
#> 277 preprocess workflow sd_ratio_threshold
#> 278 preprocess workflow unit_root_t_cutoff
#> 279 stability workflow data
#> 280 stability workflow vars
#> 282 stability workflow id
#> 283 stability workflow day
#> 284 stability workflow beep
#> 291 stability workflow ...
#> 289 stability workflow seed
#> 281 stability workflow estimator
#> 290 stability workflow keep_fits
#> 285 stability workflow n_resamples
#> 286 stability workflow resample
#> 287 stability workflow block_size
#> 288 stability workflow threshold
#> status reference
#> 161 validated_oracle_matrix gimme::gimme 10.0
#> 162 validated_oracle_matrix gimme::gimme 10.0
#> 163 validated_oracle_matrix gimme::gimme 10.0
#> 165 validated_oracle_matrix gimme::gimme 10.0
#> 166 validated_oracle_matrix gimme::gimme 10.0
#> 167 validated_oracle_matrix gimme::gimme 10.0
#> 168 validated_oracle_matrix gimme::gimme 10.0
#> 182 validated_oracle_matrix gimme::gimme 10.0
#> 170 validated_oracle_matrix gimme::gimme 10.0
#> 164 validated_oracle_matrix gimme::gimme 10.0
#> 180 validated_oracle_matrix gimme::gimme 10.0
#> 177 validated_oracle_matrix gimme::gimme 10.0
#> 178 validated_oracle_matrix gimme::gimme 10.0
#> 173 validated_oracle_matrix gimme::gimme 10.0
#> 174 validated_oracle_matrix gimme::gimme 10.0
#> 169 oracle_or_upstream_failure gimme::gimme 10.0
#> 171 validated_oracle_matrix gimme::gimme 10.0
#> 172 explicit_warning_boundary gimme::gimme 10.0
#> 175 validated_oracle_matrix gimme::gimme 10.0
#> 176 validated_oracle_matrix gimme::gimme 10.0
#> 179 validated_oracle_matrix gimme::gimme 10.0
#> 181 validated_oracle_matrix gimme::gimme 10.0
#> 183 validated_oracle_matrix gimme::gimme 10.0
#> 184 validated_oracle_matrix gimme::gimme 10.0
#> 185 validated_oracle_matrix gimme::gimme 10.0
#> 186 validated_oracle_matrix gimme::gimme 10.0
#> 187 explicit_rejection gimme::gimme 10.0
#> 188 explicit_rejection gimme::gimme 10.0
#> 189 explicit_rejection gimme::gimme 10.0
#> 190 explicit_rejection gimme::gimme 10.0
#> 191 explicit_rejection gimme::gimme 10.0
#> 192 explicit_rejection gimme::gimme 10.0
#> 193 explicit_rejection gimme::gimme 10.0
#> 194 explicit_rejection gimme::gimme 10.0
#> 195 explicit_rejection gimme::gimme 10.0
#> 196 explicit_warning_boundary gimme::gimme 10.0
#> 197 explicit_warning_boundary gimme::gimme 10.0
#> 198 explicit_warning_boundary gimme::gimme 10.0
#> 199 explicit_warning_boundary gimme::gimme 10.0
#> 200 explicit_warning_boundary gimme::gimme 10.0
#> 201 explicit_warning_boundary gimme::gimme 10.0
#> 202 explicit_warning_boundary gimme::gimme 10.0
#> 203 explicit_warning_boundary gimme::gimme 10.0
#> 204 explicit_warning_boundary gimme::gimme 10.0
#> 205 explicit_warning_boundary gimme::gimme 10.0
#> 206 explicit_warning_boundary gimme::gimme 10.0
#> 207 explicit_warning_boundary gimme::gimme 10.0
#> 208 explicit_warning_boundary gimme::gimme 10.0
#> 209 explicit_warning_boundary gimme::gimme 10.0
#> 210 explicit_warning_boundary gimme::gimme 10.0
#> 211 explicit_warning_boundary gimme::gimme 10.0
#> 212 explicit_warning_boundary gimme::gimme 10.0
#> 35 validated_oracle graphicalVAR::graphicalVAR
#> 36 validated_oracle graphicalVAR::graphicalVAR
#> 37 validated_oracle graphicalVAR::graphicalVAR
#> 38 validated_oracle graphicalVAR::graphicalVAR
#> 39 validated_oracle graphicalVAR::graphicalVAR
#> 40 validated_or_extension graphicalVAR::graphicalVAR
#> 43 validated_oracle graphicalVAR::graphicalVAR
#> 44 validated_oracle graphicalVAR::graphicalVAR
#> 55 validated_oracle graphicalVAR::graphicalVAR
#> 60 validated_behavior graphicalVAR::graphicalVAR
#> 61 validated_behavior graphicalVAR::graphicalVAR
#> 59 validated_behavior graphicalVAR::graphicalVAR
#> 41 validated_or_extension graphicalVAR::graphicalVAR
#> 42 validated_oracle graphicalVAR::graphicalVAR
#> 45 validated_oracle graphicalVAR::graphicalVAR
#> 46 validated_oracle graphicalVAR::graphicalVAR
#> 47 validated_oracle graphicalVAR::graphicalVAR
#> 48 validated_oracle graphicalVAR::graphicalVAR
#> 49 validated_oracle graphicalVAR::graphicalVAR
#> 50 validated_oracle graphicalVAR::graphicalVAR
#> 51 validated_oracle graphicalVAR::graphicalVAR
#> 52 validated_oracle graphicalVAR::graphicalVAR
#> 53 validated_oracle graphicalVAR::graphicalVAR
#> 54 validated_oracle graphicalVAR::graphicalVAR
#> 56 validated_oracle graphicalVAR::graphicalVAR
#> 57 validated_oracle graphicalVAR::graphicalVAR
#> 58 validated_or_rejected graphicalVAR::graphicalVAR
#> 62 validated_wrapper graphicalVAR::graphicalVAR
#> 63 validated_wrapper graphicalVAR::graphicalVAR
#> 64 validated_wrapper graphicalVAR::graphicalVAR
#> 65 validated_wrapper graphicalVAR::graphicalVAR
#> 66 validated_wrapper graphicalVAR::graphicalVAR
#> 67 validated_wrapper graphicalVAR::graphicalVAR
#> 68 validated_forwarding graphicalVAR::graphicalVAR
#> 240 validated_native base-R engines and closed forms
#> 243 validated_native base-R engines and closed forms
#> 244 validated_native base-R engines and closed forms
#> 245 validated_native base-R engines and closed forms
#> 261 validated_native base-R engines and closed forms
#> 248 validated_native base-R engines and closed forms
#> 259 validated_native base-R engines and closed forms
#> 254 validated_native base-R engines and closed forms
#> 241 validated_native base-R engines and closed forms
#> 260 validated_native base-R engines and closed forms
#> 242 validated_native base-R engines and closed forms
#> 246 validated_native base-R engines and closed forms
#> 247 validated_native base-R engines and closed forms
#> 249 validated_native base-R engines and closed forms
#> 250 validated_native base-R engines and closed forms
#> 251 validated_native base-R engines and closed forms
#> 252 validated_native base-R engines and closed forms
#> 253 validated_native base-R engines and closed forms
#> 255 validated_native base-R engines and closed forms
#> 256 validated_native base-R engines and closed forms
#> 257 validated_native base-R engines and closed forms
#> 258 validated_native base-R engines and closed forms
#> 69 validated_oracle mlVAR::mlVAR
#> 70 validated_oracle mlVAR::mlVAR
#> 71 validated_oracle mlVAR::mlVAR
#> 72 validated_oracle mlVAR::mlVAR
#> 73 validated_oracle mlVAR::mlVAR
#> 74 mode_dependent mlVAR::mlVAR
#> 79 validated_oracle mlVAR::mlVAR
#> 85 validated_behavior mlVAR::mlVAR
#> 86 validated_behavior mlVAR::mlVAR
#> 95 validated_or_rejected mlVAR::mlVAR
#> 82 validated_behavior mlVAR::mlVAR
#> 75 mode_dependent mlVAR::mlVAR
#> 76 mode_dependent mlVAR::mlVAR
#> 77 mode_dependent mlVAR::mlVAR
#> 78 validated_oracle mlVAR::mlVAR
#> 80 validated_oracle mlVAR::mlVAR
#> 81 validated_oracle mlVAR::mlVAR
#> 83 validated_oracle mlVAR::mlVAR
#> 84 validated_oracle mlVAR::mlVAR
#> 87 mode_dependent mlVAR::mlVAR
#> 88 validated_oracle mlVAR::mlVAR
#> 89 validated_behavior mlVAR::mlVAR
#> 90 validated_oracle mlVAR::mlVAR
#> 91 validated_oracle mlVAR::mlVAR
#> 92 validated_oracle mlVAR::mlVAR
#> 93 validated_oracle mlVAR::mlVAR
#> 94 validated_oracle mlVAR::mlVAR
#> 96 validated_statistical Mplus DSEM
#> 97 validated_statistical Mplus DSEM
#> 98 validated_statistical Mplus DSEM
#> 99 validated_statistical Mplus DSEM
#> 100 validated_statistical Mplus DSEM
#> 101 validated_statistical Mplus DSEM
#> 105 validated_statistical Mplus DSEM
#> 114 validated_statistical Mplus DSEM
#> 115 validated_statistical Mplus DSEM
#> 109 validated_statistical Mplus DSEM
#> 110 validated_statistical Mplus DSEM
#> 111 validated_statistical Mplus DSEM
#> 112 validated_statistical Mplus DSEM
#> 113 validated_statistical Mplus DSEM
#> 116 validated_statistical Mplus DSEM
#> 102 fixture_or_recovery Mplus DSEM
#> 103 validated_statistical Mplus DSEM
#> 106 validated_statistical Mplus DSEM
#> 104 fixture_or_recovery Mplus DSEM
#> 107 fixture_or_recovery Mplus DSEM
#> 108 fixture_or_recovery Mplus DSEM
#> 117 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 118 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 119 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 120 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 121 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 122 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 126 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 133 validated_behavior mlVAR::mlVAR(estimator='Mplus')
#> 134 validated_behavior mlVAR::mlVAR(estimator='Mplus')
#> 137 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 136 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 123 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 124 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 127 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 125 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 128 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 129 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 130 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 131 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 132 delegated_contract mlVAR::mlVAR(estimator='Mplus')
#> 135 validated_behavior mlVAR::mlVAR(estimator='Mplus')
#> 226 validated_internal idiographic::fit_graphical_var
#> 227 validated_internal idiographic::fit_graphical_var
#> 228 validated_internal idiographic::fit_graphical_var
#> 229 validated_internal idiographic::fit_graphical_var
#> 230 validated_internal idiographic::fit_graphical_var
#> 233 validated_internal idiographic::fit_graphical_var
#> 234 validated_internal idiographic::fit_graphical_var
#> 235 validated_internal idiographic::fit_graphical_var
#> 236 validated_internal idiographic::fit_graphical_var
#> 237 validated_internal idiographic::fit_graphical_var
#> 239 validated_internal idiographic::fit_graphical_var
#> 231 validated_internal idiographic::fit_graphical_var
#> 232 validated_internal idiographic::fit_graphical_var
#> 238 validated_internal idiographic::fit_graphical_var
#> 213 validated_internal idiographic::fit_var
#> 214 validated_internal idiographic::fit_var
#> 215 validated_internal idiographic::fit_var
#> 216 validated_internal idiographic::fit_var
#> 217 validated_internal idiographic::fit_var
#> 220 validated_internal idiographic::fit_var
#> 221 validated_internal idiographic::fit_var
#> 222 validated_internal idiographic::fit_var
#> 223 validated_internal idiographic::fit_var
#> 224 validated_internal idiographic::fit_var
#> 218 validated_internal idiographic::fit_var
#> 219 validated_internal idiographic::fit_var
#> 225 validated_internal idiographic::fit_var
#> 138 validated_engine lavaan::lavaan
#> 139 validated_engine lavaan::lavaan
#> 140 validated_engine lavaan::lavaan
#> 142 validated_engine lavaan::lavaan
#> 143 validated_engine lavaan::lavaan
#> 144 validated_engine lavaan::lavaan
#> 145 validated_engine lavaan::lavaan
#> 160 validated_engine lavaan::lavaan
#> 159 validated_engine lavaan::lavaan
#> 146 validated_engine lavaan::lavaan
#> 147 validated_engine lavaan::lavaan
#> 158 validated_engine lavaan::lavaan
#> 141 validated_engine lavaan::lavaan
#> 148 validated_engine lavaan::lavaan
#> 149 validated_extension lavaan::lavaan
#> 150 validated_extension lavaan::lavaan
#> 151 validated_extension lavaan::lavaan
#> 152 validated_extension lavaan::lavaan
#> 153 validated_extension lavaan::lavaan
#> 154 validated_extension lavaan::lavaan
#> 155 validated_extension lavaan::lavaan
#> 156 validated_engine lavaan::lavaan
#> 157 validated_engine lavaan::lavaan
#> 1 validated_engine stats::lm.fit
#> 2 validated_engine stats::lm.fit
#> 3 validated_engine stats::lm.fit
#> 4 validated_engine stats::lm.fit
#> 5 validated_engine stats::lm.fit
#> 6 validated_engine stats::lm.fit
#> 7 validated_engine stats::lm.fit
#> 8 validated_engine stats::lm.fit
#> 9 validated_engine stats::lm.fit
#> 10 validated_engine stats::lm.fit
#> 11 validated_engine stats::lm.fit
#> 19 validated_statistical Mplus ESTIMATOR=BAYES
#> 20 validated_statistical Mplus ESTIMATOR=BAYES
#> 21 validated_statistical Mplus ESTIMATOR=BAYES
#> 22 validated_statistical Mplus ESTIMATOR=BAYES
#> 23 validated_statistical Mplus ESTIMATOR=BAYES
#> 24 validated_statistical Mplus ESTIMATOR=BAYES
#> 25 validated_statistical Mplus ESTIMATOR=BAYES
#> 26 validated_statistical Mplus ESTIMATOR=BAYES
#> 32 validated_statistical Mplus ESTIMATOR=BAYES
#> 33 validated_statistical Mplus ESTIMATOR=BAYES
#> 27 validated_statistical Mplus ESTIMATOR=BAYES
#> 28 validated_statistical Mplus ESTIMATOR=BAYES
#> 29 validated_statistical Mplus ESTIMATOR=BAYES
#> 30 validated_statistical Mplus ESTIMATOR=BAYES
#> 31 validated_statistical Mplus ESTIMATOR=BAYES
#> 34 validated_statistical Mplus ESTIMATOR=BAYES
#> 12 validated_engine idiographic::fit_var
#> 13 validated_engine idiographic::fit_var
#> 14 validated_engine idiographic::fit_var
#> 15 validated_engine idiographic::fit_var
#> 16 validated_engine idiographic::fit_var
#> 17 validated_engine idiographic::fit_var
#> 18 validated_engine idiographic::fit_var
#> 292 validated_internal registered estimator summaries
#> 293 validated_internal registered estimator summaries
#> 295 validated_internal registered estimator summaries
#> 296 validated_internal registered estimator summaries
#> 297 validated_internal registered estimator summaries
#> 299 validated_internal registered estimator summaries
#> 294 validated_internal registered estimator summaries
#> 298 validated_internal registered estimator summaries
#> 300 validated_internal direct fitted-model prediction
#> 301 validated_internal direct fitted-model prediction
#> 303 validated_internal direct fitted-model prediction
#> 304 validated_internal direct fitted-model prediction
#> 305 validated_internal direct fitted-model prediction
#> 311 validated_internal direct fitted-model prediction
#> 312 validated_internal direct fitted-model prediction
#> 313 validated_internal direct fitted-model prediction
#> 315 validated_internal direct fitted-model prediction
#> 302 validated_internal direct fitted-model prediction
#> 308 validated_internal direct fitted-model prediction
#> 314 validated_internal direct fitted-model prediction
#> 310 validated_internal direct fitted-model prediction
#> 306 validated_internal direct fitted-model prediction
#> 307 validated_internal direct fitted-model prediction
#> 309 validated_internal direct fitted-model prediction
#> 262 validated_internal shared lag-design engines
#> 263 validated_internal shared lag-design engines
#> 264 validated_internal shared lag-design engines
#> 265 validated_internal shared lag-design engines
#> 266 validated_internal shared lag-design engines
#> 267 validated_internal shared lag-design engines
#> 268 validated_internal shared lag-design engines
#> 271 validated_internal shared lag-design engines
#> 272 validated_internal shared lag-design engines
#> 273 validated_internal shared lag-design engines
#> 269 validated_internal shared lag-design engines
#> 270 validated_internal shared lag-design engines
#> 274 validated_internal shared lag-design engines
#> 275 validated_internal shared lag-design engines
#> 276 validated_internal shared lag-design engines
#> 277 validated_internal shared lag-design engines
#> 278 validated_internal shared lag-design engines
#> 279 validated_internal registered base estimators
#> 280 validated_internal registered base estimators
#> 282 validated_internal registered base estimators
#> 283 validated_internal registered base estimators
#> 284 validated_internal registered base estimators
#> 291 validated_internal registered base estimators
#> 289 validated_internal registered base estimators
#> 281 validated_internal registered base estimators
#> 290 validated_internal registered base estimators
#> 285 validated_internal registered base estimators
#> 286 validated_internal registered base estimators
#> 287 validated_internal registered base estimators
#> 288 validated_internal registered base estimators
#> scope
#> 161 `data`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 162 `vars`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 163 `id`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 165 `day`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 166 `beep`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 167 `min_obs`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 168 `subject`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 182 `seed`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 170 `standardize`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 164 `time`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 180 `cfi_cutoff`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 177 `rmsea_cutoff`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 178 `srmr_cutoff`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 173 `paths`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 174 `exogenous`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 169 `ar`: The supported AR path is oracle-tested; upstream gimme 10.0 fails on the audited ar=FALSE fixture, which remains a local extension. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 171 `groupcutoff`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 172 `subcutoff`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 175 `hybrid`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 176 `VAR`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 179 `nnfi_cutoff`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 181 `n_excellent`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 183 `group_correct`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 184 `indiv_correct`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 185 `alpha`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 186 `stop_crit`: Evidence class: validated_oracle_matrix. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 187 `subgroup`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 188 `outcome`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 189 `conv_vars`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 190 `mult_vars`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 191 `lv_model`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 192 `lasso_model_crit`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 193 `ms_allow`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 194 `ordered`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 195 `dir_prop_cutoff`: Non-default use errors explicitly; no silent support claim. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 196 `out`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 197 `sep`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 198 `header`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 199 `plot`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 200 `sub_feature`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 201 `sub_method`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 202 `sub_sim_thresh`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 203 `confirm_subgroup`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 204 `conv_length`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 205 `conv_interval`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 206 `mean_center_mult`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 207 `diagnos`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 208 `ms_tol`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 209 `lv_estimator`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 210 `lv_scores`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 211 `lv_miiv_scaling`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 212 `lv_final_estimator`: Non-default use warns explicitly because the parent feature or file workflow is outside idiographic's scope. Direct bivariate and three-variable standard/hybrid/VAR oracle matrix covering search outputs, fit statistics, corrections, alpha, stopping rules, standardization, fit/group cutoffs, forced paths, exogenous variables, and uneven panels, plus recovery tests.
#> 35 `data`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 36 `vars`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 37 `id`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 38 `day`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 39 `beep`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 40 `lags`: Competitor-compatible values are oracle-tested; additional tidy values are labelled idiographic extensions. Supported lag-1 settings, including tested beta/kappa options.
#> 43 `scale`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 44 `center_within`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 55 `delete_missings`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 60 `min_obs`: Evidence class: validated_behavior. Supported lag-1 settings, including tested beta/kappa options.
#> 61 `subject`: Evidence class: validated_behavior. Supported lag-1 settings, including tested beta/kappa options.
#> 59 `verbose`: Evidence class: validated_behavior. Supported lag-1 settings, including tested beta/kappa options.
#> 41 `n_lambda`: Competitor-compatible values are oracle-tested; additional tidy values are labelled idiographic extensions. Supported lag-1 settings, including tested beta/kappa options.
#> 42 `gamma`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 45 `lambda_min_ratio`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 46 `lambda_min_kappa`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 47 `lambda_min_beta`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 48 `penalize_diagonal`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 49 `lambda_beta`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 50 `lambda_kappa`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 51 `regularize_mat_beta`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 52 `regularize_mat_kappa`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 53 `maxit_in`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 54 `maxit_out`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 56 `likelihood`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 57 `ebic_tol`: Evidence class: validated_oracle. Supported lag-1 settings, including tested beta/kappa options.
#> 58 `mimic`: Supported values are tested; unused or legacy values error explicitly. Supported lag-1 settings, including tested beta/kappa options.
#> 62 `data`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 63 `vars`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 64 `id`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 65 `day`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 66 `beep`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 67 `min_obs`: Evidence class: validated_wrapper. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 68 `...`: Evidence class: validated_forwarding. Every returned subject fit is compared directly with an upstream lag-1 graphicalVAR fit on the same subject panel.
#> 240 `data`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 243 `id`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 244 `day`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 245 `beep`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 261 `...`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 248 `estimator`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 259 `standardize`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 254 `alpha`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 241 `outcome`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 260 `keep_fits`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 242 `predictors`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 246 `task`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 247 `model`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 249 `compare`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 250 `test_prop`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 251 `min_train`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 252 `min_test`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 253 `lambda`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 255 `k`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 256 `n_components`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 257 `max_iter`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 258 `tol`: Evidence class: validated_native. All regression/classification model families, selectors, prediction, and tuning controls are exercised; linear and logistic engines are cell-equal to lm.fit/glm.fit.
#> 69 `data`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 70 `vars`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 71 `id`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 72 `day`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 73 `beep`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 74 `lags`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 79 `scale`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 85 `min_obs`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 86 `subject`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 95 `...`: Supported values are tested; unused or legacy values error explicitly. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 82 `verbose`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 75 `estimator`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 76 `temporal`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 77 `contemporaneous`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 78 `AR`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 80 `scaleWithin`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 81 `nCores`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 83 `lag`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 84 `standardize`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 87 `engine`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 88 `standardize_mode`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 89 `missing`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 90 `compare_to_lags`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 91 `true_means`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 92 `detrend`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 93 `na_rm`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 94 `orthogonal`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 96 `data`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 97 `vars`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 98 `id`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 99 `day`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 100 `beep`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 101 `lags`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 105 `scale`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 114 `min_obs`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 115 `subject`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 109 `n_iter`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 110 `n_burnin`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 111 `n_chains`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 112 `thin`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 113 `seed`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 116 `verbose`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 102 `temporal`: Fixed/checkable slices use external fixtures; advanced native slices use planted recovery and are labelled accordingly. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 103 `contemporaneous`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 106 `scaleWithin`: Evidence class: validated_statistical. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 104 `residual`: Fixed/checkable slices use external fixtures; advanced native slices use planted recovery and are labelled accordingly. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 107 `tinterval`: Fixed/checkable slices use external fixtures; advanced native slices use planted recovery and are labelled accordingly. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 108 `impute`: Fixed/checkable slices use external fixtures; advanced native slices use planted recovery and are labelled accordingly. Five fixed bivariate fixtures, one univariate random-AR fixture, multivariate recovery, missing-data recovery, and explicit MCMC control contracts.
#> 117 `data`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 118 `vars`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 119 `id`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 120 `day`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 121 `beep`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 122 `lags`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 126 `scale`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 133 `min_obs`: Evidence class: validated_behavior. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 134 `subject`: Evidence class: validated_behavior. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 137 `...`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 136 `verbose`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 123 `temporal`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 124 `contemporaneous`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 127 `scaleWithin`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 125 `nCores`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 128 `MplusSave`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 129 `MplusName`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 130 `iterations`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 131 `chains`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 132 `signs`: Argument forwarding and output conversion are executable; estimation is delegated to the licensed backend. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 135 `workdir`: Evidence class: validated_behavior. Complete backend argument-forwarding and output-conversion contract; the statistical estimator is the delegated licensed backend.
#> 226 `data`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 227 `vars`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 228 `id`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 229 `day`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 230 `beep`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 233 `scale`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 234 `center_within`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 235 `delete_missings`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 236 `min_obs`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 237 `subject`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 239 `...`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 231 `window_size`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 232 `step`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 238 `keep_fits`: Evidence class: validated_internal. Every retained window is a registered graphical VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 213 `data`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 214 `vars`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 215 `id`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 216 `day`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 217 `beep`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 220 `scale`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 221 `center_within`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 222 `delete_missings`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 223 `min_obs`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 224 `subject`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 218 `window_size`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 219 `step`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 225 `keep_fits`: Evidence class: validated_internal. Every retained window is a registered VAR fit; direct-window equality, boundaries, and planted-change recovery are tested.
#> 138 `data`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 139 `vars`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 140 `id`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 142 `day`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 143 `beep`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 144 `min_obs`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 145 `subject`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 160 `seed`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 159 `estimator`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 146 `temporal`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 147 `contemporaneous`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 158 `standardize`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 141 `time`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 148 `residual_cov`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 149 `trim`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 150 `trim_alpha`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 151 `trim_fit_criteria`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 152 `cfi_cutoff`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 153 `tli_cutoff`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 154 `rmsea_cutoff`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 155 `srmr_cutoff`: Evidence class: validated_extension. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 156 `paths`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 157 `exogenous`: Evidence class: validated_engine. Fixed-syntax estimates for raw/standardized panels and ML/MLR engines; trimming remains a native search procedure.
#> 1 `data`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 2 `vars`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 3 `id`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 4 `day`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 5 `beep`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 6 `lags`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 7 `scale`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 8 `center_within`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 9 `delete_missings`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 10 `min_obs`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 11 `subject`: Evidence class: validated_engine. OLS coefficient engine and package-defined VAR(1) preprocessing.
#> 19 `data`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 20 `vars`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 21 `id`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 22 `day`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 23 `beep`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 24 `lags`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 25 `scale`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 26 `center_within`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 32 `min_obs`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 33 `subject`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 27 `n_iter`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 28 `n_burnin`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 29 `n_chains`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 30 `thin`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 31 `seed`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 34 `verbose`: Evidence class: validated_statistical. Three frozen bivariate Mplus fixtures, an OLS cross-check, and executable burn-in/thinning/retained-draw contracts.
#> 12 `data`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 13 `vars`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 14 `id`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 15 `day`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 16 `beep`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 17 `min_obs`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 18 `...`: Evidence class: validated_engine. Exact per-subject wrapper behavior.
#> 292 `data`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 293 `vars`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 295 `id`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 296 `day`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 297 `beep`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 299 `keep_fits`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 294 `estimators`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 298 `estimator_args`: Evidence class: validated_internal. Exact stacking, dispatch, argument routing, and failure isolation.
#> 300 `data`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 301 `vars`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 303 `id`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 304 `day`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 305 `beep`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 311 `scale`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 312 `center_within`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 313 `delete_missings`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 315 `...`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 302 `estimator`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 308 `step`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 314 `keep_fits`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 310 `block_size`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 306 `initial`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 307 `assess`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 309 `n_splits`: Evidence class: validated_internal. Rolling-origin split geometry, boundary lags, deterministic metrics, and predictions equal direct fitted-model matrix prediction.
#> 262 `data`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 263 `vars`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 264 `id`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 265 `day`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 266 `beep`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 267 `scale`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 268 `center_within`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 271 `delete_missings`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 272 `min_obs`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 273 `subject`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 269 `detrend`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 270 `checks`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 274 `trend_alpha`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 275 `ar_threshold`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 276 `mean_shift_threshold`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 277 `sd_ratio_threshold`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 278 `unit_root_t_cutoff`: Evidence class: validated_internal. Exact shared GVAR lag-design equality plus deterministic diagnostic, filtering, detrending, missingness, and threshold contracts.
#> 279 `data`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 280 `vars`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 282 `id`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 283 `day`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 284 `beep`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 291 `...`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 289 `seed`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 281 `estimator`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 290 `keep_fits`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 285 `n_resamples`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 286 `resample`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 287 `block_size`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
#> 288 `threshold`: Evidence class: validated_internal. Deterministic block/split-half resampling, ordering invariants, and five-estimator dispatch contracts; no unrelated external target.
argument_coverage("mlvar")
#> method kind argument status reference
#> 1 mlvar estimator data validated_oracle mlVAR::mlVAR
#> 2 mlvar estimator vars validated_oracle mlVAR::mlVAR
#> 3 mlvar estimator id validated_oracle mlVAR::mlVAR
#> 4 mlvar estimator day validated_oracle mlVAR::mlVAR
#> 5 mlvar estimator beep validated_oracle mlVAR::mlVAR
#> 6 mlvar estimator lags mode_dependent mlVAR::mlVAR
#> 7 mlvar estimator estimator mode_dependent mlVAR::mlVAR
#> 8 mlvar estimator temporal mode_dependent mlVAR::mlVAR
#> 9 mlvar estimator contemporaneous mode_dependent mlVAR::mlVAR
#> 10 mlvar estimator AR validated_oracle mlVAR::mlVAR
#> 11 mlvar estimator scale validated_oracle mlVAR::mlVAR
#> 12 mlvar estimator scaleWithin validated_oracle mlVAR::mlVAR
#> 13 mlvar estimator nCores validated_oracle mlVAR::mlVAR
#> 14 mlvar estimator verbose validated_behavior mlVAR::mlVAR
#> 15 mlvar estimator lag validated_oracle mlVAR::mlVAR
#> 16 mlvar estimator standardize validated_oracle mlVAR::mlVAR
#> 17 mlvar estimator min_obs validated_behavior mlVAR::mlVAR
#> 18 mlvar estimator subject validated_behavior mlVAR::mlVAR
#> 19 mlvar estimator engine mode_dependent mlVAR::mlVAR
#> 20 mlvar estimator standardize_mode validated_oracle mlVAR::mlVAR
#> 21 mlvar estimator missing validated_behavior mlVAR::mlVAR
#> 22 mlvar estimator compare_to_lags validated_oracle mlVAR::mlVAR
#> 23 mlvar estimator true_means validated_oracle mlVAR::mlVAR
#> 24 mlvar estimator detrend validated_oracle mlVAR::mlVAR
#> 25 mlvar estimator na_rm validated_oracle mlVAR::mlVAR
#> 26 mlvar estimator orthogonal validated_oracle mlVAR::mlVAR
#> 27 mlvar estimator ... validated_or_rejected mlVAR::mlVAR
#> scope
#> 1 `data`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 2 `vars`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 3 `id`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 4 `day`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 5 `beep`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 6 `lags`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 7 `estimator`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 8 `temporal`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 9 `contemporaneous`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 10 `AR`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 11 `scale`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 12 `scaleWithin`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 13 `nCores`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 14 `verbose`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 15 `lag`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 16 `standardize`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 17 `min_obs`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 18 `subject`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 19 `engine`: The fitted object's equivalence declaration is refined from the selected engine and structure. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 20 `standardize_mode`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 21 `missing`: Evidence class: validated_behavior. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 22 `compare_to_lags`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 23 `true_means`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 24 `detrend`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 25 `na_rm`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 26 `orthogonal`: Evidence class: validated_oracle. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.
#> 27 `...`: Supported values are tested; unused or legacy values error explicitly. Direct oracle matrix for every supported lag-1 lmer temporal and contemporaneous structure, plus 20 real ESM fixed/fixed panels.