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: 1.0-1
Depends: R (≥ 3.5.0)
Imports: graphics, grDevices, stats, methods, MASS, splines, Matrix, lattice, colorspace, psych
Published: 2020-03-03
Author: Patrick Mair [cre, aut], Reinhold Hatzinger [aut], Marco J. Maier [aut], Thomas Rusch [ctb], Rudolf Debelak [ctb]
Maintainer: Patrick Mair <mair at fas.harvard.edu>
License: GPL-3
NeedsCompilation: yes
Citation: eRm citation info
Materials: NEWS
In views: Multivariate, Psychometrics
CRAN checks: eRm results

Downloads:

Reference manual: eRm.pdf
Vignettes: eRm Basics
Package source: eRm_1.0-1.tar.gz
Windows binaries: r-devel: eRm_1.0-1.zip, r-release: eRm_1.0-1.zip, r-oldrel: eRm_1.0-1.zip
macOS binaries: r-release: eRm_1.0-1.tgz, r-oldrel: eRm_1.0-1.tgz
Old sources: eRm archive

Reverse dependencies:

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

Linking:

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