https://ryuya-dot-com.r-universe.devRecent package updates in ryuya-dot-comR-universehttps://github.com/ryuya-dot-com.pnghttps://ryuya-dot-com.r-universe.devFri, 03 Jul 2026 05:40:20 GMTryuya.komuro.c4@tohoku.ac.jp (Ryuya Komuro)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.https://github.com/r-universe/ryuya-dot-com/actions/runs/28647766268Fri, 03 Jul 2026 05:40:20 GMTmfrmr0.2.2successhttps://ryuya-dot-com.r-universe.devhttps://github.com/ryuya-dot-com/mfrmrmfrmr-gpcm-scope.Rmdmfrmr-gpcm-scope.htmlGPCM scope and current limitations2026-05-03 11:32:032026-06-12 06:57:29mfrmr-linking-and-dff.Rmdmfrmr-linking-and-dff.htmlmfrmr Linking and DFF2026-05-03 11:32:032026-06-12 06:57:29mfrmr-reporting-and-apa.Rmdmfrmr-reporting-and-apa.htmlmfrmr Reporting and APA2026-05-03 11:32:032026-06-20 12:52:36mfrmr-visual-diagnostics.Rmdmfrmr-visual-diagnostics.htmlmfrmr Visual Diagnostics2026-05-03 11:32:032026-06-20 12:52:36mfrmr-workflow.Rmdmfrmr-workflow.htmlmfrmr Workflow2026-05-03 11:32:032026-06-25 05:57:48mfrmr-facets-migration.Rmdmfrmr-facets-migration.htmlMigrating from Facets to mfrmr2026-05-03 11:32:032026-06-12 06:57:29mfrmr-mml-and-marginal-fit.Rmdmfrmr-mml-and-marginal-fit.htmlMML estimation and marginal-fit diagnostics2026-05-03 11:32:032026-06-12 06:57:29