Nothing
mfrmr: Estimation and Diagnostics for Many-Facet Measurement Models
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ryuya Komuro [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9205-0926>) |
| Maintainer | Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| URL | https://github.com/Ryuya-dot-com/mfrmr |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mfrmr package in your browser
Any scripts or data that you put into this service are public.
