Package index
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ai_long - AI-collaboration messages (long format)
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as.data.frame(<transitiontrees>) - Coerce a context tree to a Tidy Data Frame
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as.data.frame(<transitiontrees_bootstrap>) - Coerce a context tree Bootstrap to a Tidy Data Frame
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as.data.frame(<transitiontrees_comparison>) - Coerce a context tree Comparison to a Tidy Data Frame
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as.data.frame(<transitiontrees_group>) - Coerce a Group of Trees to One Tidy Data Frame
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as.data.frame(<transitiontrees_group_comparison>) - Coerce a Group Comparison to a Tidy Data Frame
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bootstrap_pathways() - Bootstrap Pathway Stability and Informativeness
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common_pathways() - Most Common Pathways in a Fitted Tree
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compare_groups() - Compare Groups of Sequences for Structural Differences
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compare_pruning() - Compare Pruning Criteria on One Tree
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compare_smoothing() - Compare Smoothing Schemes on One Dataset
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compare_trees() - Compare Two context trees by Symmetric Divergence with Permutation Test
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context_tree() - Fit a Prediction Suffix Tree from Categorical Sequence Data
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divergent_pathways() - Most Predictively Divergent Pathways
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engagement - Student engagement state sequences (stslist)
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generate_sequences() - Sample Sequences from a Fitted Context Tree
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group_regulation_long - Collaborative-regulation events (long format)
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impute_sequences() - Impute Missing States in Sequences
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logLik(<transitiontrees>) - Log-Likelihood of a context tree
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mine_contexts() - Mine Contexts by Next-State Probability
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mine_sequences() - Mine Sequences by Predictive Surprise
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model_fit() - Model-Fit Scalars in One Call
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n_nodes() - Number of Contexts (Nodes) in a Tree
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nobs(<transitiontrees>) - Number of Observations Used to Fit a context tree
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pathway_exists() - Test Whether a Pathway Exists in the Tree
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perplexity() - Perplexity of a context tree
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plot(<transitiontrees>) - Plot a Context Tree
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plot(<transitiontrees_bootstrap>) - Plot a context tree Bootstrap
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plot(<transitiontrees_comparison>) - Plot a context tree Comparison
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plot(<transitiontrees_group>) - Plot Each Tree in a context tree Group
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plot(<transitiontrees_group_comparison>) - Plot a Group Comparison
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plot(<transitiontrees_tune>) - Plot a context tree CV Grid
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plot_difference() - Difference (Subtraction) Map Between Two Groups
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plot_distributions() - Per-Context Next-State Distributions
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plot_divergence() - Lollipop Chart of Pathway Divergence
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plot_pathway_resamples() - Plot Bootstrap Resample Distributions per Pathway
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plot_pathways() - Plot Pathways as a Probability Heatmap
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plot_predictive() - Predictive Diagnostics for Held-Out Scoring
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plot_pruning() - Illustrate Pruning Along a Pathway's Suffix Chain
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plot_trajectories() - Forward Trajectory Tree (Prefix Tree)
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predict(<transitiontrees>) - Predict Next-State Probabilities from a Context Tree
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prepare_input() - Reshape Long Event Data into a Wide Sequence Frame
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print(<summary.transitiontrees>) - Print a Context-Tree Summary
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print(<transitiontrees>) - Print a Context Tree
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print(<transitiontrees_bootstrap>) - Print a context tree Bootstrap
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print(<transitiontrees_comparison>) - Print a context tree Comparison
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print(<transitiontrees_group>) - Print a Group of Context Trees
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print(<transitiontrees_group_comparison>) - Print a Group Comparison
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print(<transitiontrees_tune>) - Print a context tree Tuning Grid
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prune_tree() - Prune a Context Tree
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query_pathway() - Query the Probability of a Specific Pathway -> Next State
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score_positions() - Per-Position Scoring
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score_sequences() - Per-Sequence Scoring
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sharp_pathways() - Sharpest Pathways
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simulate(<transitiontrees>) - Simulate Sequences from a Fitted context tree
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smooth_tree() - Re-Smooth a Fitted context tree
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subtree() - Extract the Subtree Rooted at a Pathway
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summary(<transitiontrees>) - Summary of a Context Tree
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summary(<transitiontrees_bootstrap>) - Summarise a context tree Bootstrap
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summary(<transitiontrees_group_comparison>) - Summarise a Group Comparison
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trajectories - Student engagement trajectories
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tree_dependence() - Per-Context Path Dependence of a Context Tree
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tree_distance() - Symmetric KL Distance Between Two context trees
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tree_pathways() - Pathways from a Fitted Tree
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tune_tree() - Cross-Validated Hyperparameter Tuning for context trees