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mfrmr
View on CRAN: Click
here
Download and install mfrmr package within the R console
Install from CRAN:
install.packages("mfrmr")
Install from Github:
library("remotes")
install_github("cran/mfrmr") Install by package version:
library("remotes")
install_version("mfrmr", "0.1.4") Attach the package and use:
library("mfrmr")
Maintained by
Ryuya Komuro
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[Scholar Profile | Author Map]
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First Published: 2026-03-30
Latest Update: 2026-03-30
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 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.
How to cite:
Ryuya Komuro (2026). mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models. R package version 0.1.4, https://cran.r-project.org/web/packages/mfrmr. Accessed 12 Sep. 2026.
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