mfrmr
0.2.2Estimation and Diagnostics for Many-Facet Measurement Models
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- NOTE2026-04-1311 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-317 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 30%
- Documented parameters
- 95%
- Return-value docs
- 100%
- References docs
- 5%
Downloads
Repository
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Repository practices
6 development-tooling and community-health practices detected across 6 families in the upstream repository
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Dependencies
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Code & Tests
Datasets
People & History
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Package metadata
- First published
- 2026-03-31
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 23 KB / 10 files
- Download size
- 2.0 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mfrmr")The authors publish a CITATION.cff, so they have said how they want this cited. Run citation() and use what it gives you.
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