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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 |
| 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 |
| 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) |
| 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 |
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.