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mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models
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.
Getting started
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Package details |
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| Author | Ryuya Komuro [aut, cre] (ORCID: <https://orcid.org/0000-0001-9205-0926>) |
| Maintainer | Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp> |
| License | MIT + file LICENSE |
| Version | 0.1.4 |
| URL | https://ryuya-dot-com.github.io/R_package_mfrmr/ https://github.com/Ryuya-dot-com/R_package_mfrmr |
| Package repository | View on CRAN |
| Installation |
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