Return a tidy catalogue of the built-in scenario presets. Each
scenario is a hard-coded recipe of argument-lists targeting one
simulate_* function. Print the result directly.
Value
A base data.frame with one row per scenario and columns
scenario, description, simulator (the target
simulate_* function) and n_cases (number of argument-lists
in the recipe).
Examples
list_scenarios()
#> scenario description
#> 1 power_ttest Two-group t-test power grid: Cohen's d x sample size.
#> 2 mlm_icc_sweep Multilevel model sweeping the intraclass correlation.
#> 3 irt_models IRT response data across 1PL, 2PL and 3PL models.
#> 4 survival_censoring Survival data sweeping the censoring rate.
#> simulator n_cases
#> 1 simulate_ttest 6
#> 2 simulate_mlm 4
#> 3 simulate_irt 3
#> 4 simulate_survival 3