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mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models

Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) <doi:10.1007/BF02293814>, 'Masters' (1982) <doi:10.1007/BF02296272>, and 'Muraki' (1992) <doi:10.1177/014662169201600206> for the underlying ordered-response models.

Version: 0.2.0
Depends: R (≥ 4.1)
Imports: cli, dplyr, grDevices, graphics, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, methods, stats, utils
LinkingTo: cpp11
Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown, igraph, lme4, digest, kableExtra, flextable, future.apply, mirt, TAM, eRm
Published: 2026-05-16
DOI: 10.32614/CRAN.package.mfrmr
Author: Ryuya Komuro ORCID iD [aut, cre, cph]
Maintainer: Ryuya Komuro <ryuya.komuro.c4 at tohoku.ac.jp>
BugReports: https://github.com/Ryuya-dot-com/mfrmr/issues
License: MIT + file LICENSE
URL: https://github.com/Ryuya-dot-com/mfrmr
NeedsCompilation: yes
Language: en
Citation: mfrmr citation info
Materials: README, NEWS
CRAN checks: mfrmr results

Documentation:

Reference manual: mfrmr.html , mfrmr.pdf
Vignettes: Migrating from Facets to mfrmr (source, R code)
GPCM scope and current limitations (source, R code)
mfrmr Linking and DFF (source, R code)
MML estimation and marginal-fit diagnostics (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_0.2.0.tar.gz
Windows binaries: r-devel: mfrmr_0.1.5.zip, r-release: mfrmr_0.2.0.zip, r-oldrel: mfrmr_0.2.0.zip
macOS binaries: r-release (arm64): mfrmr_0.2.0.tgz, r-oldrel (arm64): mfrmr_0.2.0.tgz, r-release (x86_64): mfrmr_0.2.0.tgz, r-oldrel (x86_64): mfrmr_0.2.0.tgz
Old sources: mfrmr archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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