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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 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 |
| 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 |
| 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) |
| 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 |
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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.