eRm: Extended Rasch Modeling

Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, ICC and other plots, automated stepwise item elimination, simulation module for various binary data matrices.

Version: 1.0-6
Depends: R (≥ 3.5.0)
Imports: graphics, grDevices, stats, methods, MASS, splines, Matrix, lattice, colorspace, psych
Published: 2024-03-15
DOI: 10.32614/CRAN.package.eRm
Author: Patrick Mair [cre, aut], Thomas Rusch [aut], Reinhold Hatzinger [aut], Marco J. Maier [aut], Rudolf Debelak [ctb]
Maintainer: Patrick Mair <mair at>
License: GPL-3
NeedsCompilation: yes
Citation: eRm citation info
Materials: NEWS
In views: MissingData, Psychometrics
CRAN checks: eRm results


Reference manual: eRm.pdf
Vignettes: eRm Basics


Package source: eRm_1.0-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): eRm_1.0-6.tgz, r-oldrel (arm64): eRm_1.0-6.tgz, r-release (x86_64): eRm_1.0-6.tgz, r-oldrel (x86_64): eRm_1.0-6.tgz
Old sources: eRm archive

Reverse dependencies:

Reverse depends: iarm
Reverse imports: mstDIF, tcl, whomds
Reverse suggests: PP, pwrRasch, tmt
Reverse enhances: immer


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