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mfrmr

0.2.2

Estimation and Diagnostics for Many-Facet Measurement Models

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Ryuya KomuroFirst published 2026-03-315 releasesCRAN page ↗GitHub ↗

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

CRAN checks
13OK
Slowest check: 16.5 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.35
not tracked
Coverage
100%
Documentation · exports
14
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • NOTE2026-04-13
    11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-31
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 3,404 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
30%
Documented parameters
95%
Return-value docs
100%
References docs
5%

Downloads

2.2K
CRAN downloads in the past year
Rank #5,775 · ~6/day · ~187/mo
Daily download trend is not available in this view yet.
35930 days
1.4K90 days
2.2K1 year
Compare downloads with other packages →
Also on234 r2u16 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
39Commits
1Contributors
39 commits · Last activity 2026-07-26

Releases over time

2026-07-07 · 02026-07-26 · 1

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/ryuya-dot-com/mfrmr on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Research and citation (1)
CITATION.cff
Show all practices
Governance and community (1)
Security policy
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
25 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1
Imports (14)
clidplyrgrDevicesgraphicstidyrtibblepurrrstringrpsychlifecyclerlangmethodsstatsutils
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (1)
Author, Maintainer, Copyright holder
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.2.2Latest
    2026-07-27 · current release · diff ↗
  • 0.2.1
    2026-06-12 · diff ↗
  • 0.2.0
    2026-05-17 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.5
    2026-04-12 · diff ↗
  • 0.1.4
    2026-03-31
  • R
    R 4.5.0 released · 2025-04-11

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.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mfrmr version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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