mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models

Fits many-facet measurement models and returns diagnostics, reporting helpers, and reproducible analysis bundles using a native R implementation. Supports arbitrary facet counts, rating-scale and partial-credit parameterizations ('Andrich' (1978) <doi:10.1007/BF02293814>; 'Masters' (1982) <doi:10.1007/BF02296272>), marginal maximum likelihood estimation via the EM algorithm ('Bock' and 'Aitkin' (1981) <doi:10.1007/BF02293801>) and joint maximum likelihood estimation, plus tools for anchor review, interaction screening, linking workflows, and publication-ready summaries.

Version: 0.1.4
Depends: R (≥ 4.1)
Imports: dplyr, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, stats, utils
Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown
Published: 2026-03-30
DOI: 10.32614/CRAN.package.mfrmr (may not be active yet)
Author: Ryuya Komuro ORCID iD [aut, cre]
Maintainer: Ryuya Komuro <ryuya.komuro.c4 at tohoku.ac.jp>
BugReports: https://github.com/Ryuya-dot-com/R_package_mfrmr/issues
License: MIT + file LICENSE
URL: https://ryuya-dot-com.github.io/R_package_mfrmr/, https://github.com/Ryuya-dot-com/R_package_mfrmr
NeedsCompilation: no
Language: en
Citation: mfrmr citation info
Materials: README, NEWS
CRAN checks: mfrmr results

Documentation:

Reference manual: mfrmr.html , mfrmr.pdf
Vignettes: mfrmr Linking and DFF (source, R code)
mfrmr Reporting and APA (source, R code)
mfrmr Visual Diagnostics (source, R code)
mfrmr Workflow (source, R code)

Downloads:

Package source: mfrmr_0.1.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mfrmr to link to this page.