Estimation and Diagnostics for Many-Facet Measurement Models R package mfrmr version 0.1.4 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. Software Depends: R (>= 4.1) Imports: dplyr, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, stats, utils Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp> Comprehensive R Archive Network (CRAN) Ryuya Komuro [aut, cre] (ORCID: <https://orcid.org/0000-0001-9205-0926>) MIT + file LICENSE (https://CRAN.R-project.org/package=mfrmr/LICENSE) 2026-03-30 application/tgz https://CRAN.R-project.org/package=mfrmr doi:10.32614/CRAN.package.mfrmr en