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mfrmr 0.1.0
Initial release
- Native R implementation of many-facet Rasch model (MFRM) estimation without TAM/sirt backends.
- Supports arbitrary facet counts with
fit_mfrm() and method selection (MML default, JML).
- Includes FACETS-style bias/interaction iterative estimation via
estimate_bias().
- Provides fixed-width report helpers (
build_fixed_reports()).
- Adds APA-style narrative output (
build_apa_outputs()).
- Adds visual warning summaries (
build_visual_summaries()) with configurable threshold profiles.
- Implements residual PCA diagnostics and visualization (
analyze_residual_pca(), plot_residual_pca()).
- Bundles Eckes & Jin (2021)-inspired synthetic Study 1/2 datasets in both
data/ and inst/extdata/.
Package operations and publication readiness
- Added GitHub Actions CI for cross-platform
R CMD check.
- Added
CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md.
- Added citation metadata (
inst/CITATION, CITATION.cff).
- Expanded README with explicit installation and citation instructions.