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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | mfrmr_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
rolling linux/noble R-4.5 | mfrmr_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
rolling source/ R- | mfrmr_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
latest linux/jammy R-4.5 | mfrmr_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
latest linux/noble R-4.5 | mfrmr_0.1.5.tar.gz |
3.9 MiB |
0.1.5 |
latest source/ R- | mfrmr_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
2026-04-26 source/ R- | mfrmr_0.1.5.tar.gz |
1.4 MiB |
0.1.5 |
2026-04-23 source/ R- | mfrmr_0.1.5.tar.gz |
1.4 MiB |
0.1.4 |
2026-04-09 windows/windows R-4.5 | mfrmr_0.1.4.zip |
2.3 MiB |