Generate Specific Summary Tables — generate_summary

Generates skill profiles and item parameters tables from the mapped MCMC results.

Usage

generate_summary_tables(
  mapped_results,
  config_obj,
  student_names = NULL,
  threshold = 0.5,
  return_groups = FALSE
)

mapped_results: The data.frame output from map_pgdcm_parameters.
config_obj: The model configuration list returned by build_model_config.
student_names: Optional character vector of student names. If NULL, generic IDs are used.
threshold: Numeric. The mastery probability threshold to use for latent class grouping. Default is 0.5.
return_groups: Logical. If TRUE, calculates latent classes using groupattributepatterns. Default is FALSE.

A list containing skill_profiles and item_parameters dataframes, and optionally group_patterns.