The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
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: mfrmr_0.1.4.zip, r-release: mfrmr_0.1.4.zip, r-oldrel: not available
macOS binaries: r-release (arm64): mfrmr_0.1.4.tgz, r-oldrel (arm64): not available, r-release (x86_64): mfrmr_0.1.4.tgz, r-oldrel (x86_64): mfrmr_0.1.4.tgz

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.