Package: mfrmr
Type: Package
Title: Estimation and Diagnostics for Many-Facet Measurement Models
Version: 0.1.5
Authors@R: 
    person(given = "Ryuya", family = "Komuro", role = c("aut", "cre"),
           email = "ryuya.komuro.c4@tohoku.ac.jp",
           comment = c(ORCID = "0000-0001-9205-0926"))
Author: Ryuya Komuro [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9205-0926>)
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>
Description: 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.
URL: https://ryuya-dot-com.github.io/R_package_mfrmr/,
        https://github.com/Ryuya-dot-com/R_package_mfrmr
BugReports: https://github.com/Ryuya-dot-com/R_package_mfrmr/issues
License: MIT + file LICENSE
Language: en
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
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
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2026-04-12 05:37:09 UTC; ryuyakomuro
Repository: CRAN
Date/Publication: 2026-04-12 06:20:02 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-04-15 05:15:09 UTC; unix
Archs: mfrmr.so.dSYM
