Estimation and Diagnostics for Many-Facet Measurement Models R package mfrmr version 0.2.2 Native R implementation of many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a bounded generalized partial-credit extension, and both marginal and joint maximum likelihood estimation. The package provides a fit / diagnose / report pipeline covering anchoring, linking, bias and differential-functioning screening, and publication-oriented reporting summaries, with reproducibility manifests for replay. See 'Andrich' (1978) <doi:10.1007/BF02293814>, 'Masters' (1982) <doi:10.1007/BF02296272>, and 'Muraki' (1992) <doi:10.1177/014662169201600206> for the underlying ordered-response models. Software Depends: R (>= 4.1) Imports: cli, dplyr, grDevices, graphics, tidyr, tibble, purrr, stringr, psych, lifecycle, rlang, methods, stats, utils LinkingTo: cpp11 Suggests: testthat (>= 3.0.0), covr, knitr, rmarkdown, igraph, lme4, digest, kableExtra, flextable, future.apply, shiny, ggplot2 (>= 3.4.0), mirt, TAM, eRm Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp> Comprehensive R Archive Network (CRAN) Ryuya Komuro [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9205-0926>) MIT + file LICENSE (https://CRAN.R-project.org/package=mfrmr/LICENSE) 2026-07-27 application/tgz https://CRAN.R-project.org/package=mfrmr doi:10.32614/CRAN.package.mfrmr en