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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 with Gauss-Hermite quadrature and direct optimization of the marginal log-likelihood, joint maximum likelihood estimation, plus tools for anchor review, interaction screening, linking workflows, and publication-oriented summaries.

Version: 0.1.5
Depends: R (≥ 4.1)
Imports: dplyr, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, stats, utils
LinkingTo: cpp11
Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown
Published: 2026-04-12
DOI: 10.32614/CRAN.package.mfrmr
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: yes
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)
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_0.1.5.tar.gz
Windows binaries: r-devel: mfrmr_0.1.5.zip, r-release: mfrmr_0.1.5.zip, r-oldrel: mfrmr_0.1.5.zip
macOS binaries: r-release (arm64): mfrmr_0.1.5.tgz, r-oldrel (arm64): mfrmr_0.1.5.tgz, r-release (x86_64): mfrmr_0.1.5.tgz, r-oldrel (x86_64): mfrmr_0.1.5.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.