The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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 fas.harvard.edu>
License: GPL-3
NeedsCompilation: yes
Citation: eRm citation info
Materials: NEWS
In views: MissingData, Psychometrics
CRAN checks: eRm results

Documentation:

Reference manual: eRm.pdf
Vignettes: eRm Basics

Downloads:

Package source: eRm_1.0-6.tar.gz
Windows binaries: r-devel: eRm_1.0-6.zip, r-release: eRm_1.0-6.zip, r-oldrel: eRm_1.0-6.zip
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, RMX, tmt
Reverse enhances: immer

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eRm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.