mRm: An R Package for Conditional Maximum Likelihood Estimation in Mixed Rasch Models

Conditional maximum likelihood estimation via the EM algorithm and information-criterion-based model selection in binary mixed Rasch models.

Version: 1.1.6
Published: 2016-12-27
Author: David Preinerstorfer
Maintainer: David Preinerstorfer <david.preinerstorfer at univie.ac.at>
License: GPL-2
NeedsCompilation: yes
Materials: NEWS
In views: Psychometrics
CRAN checks: mRm results

Downloads:

Reference manual: mRm.pdf
Package source: mRm_1.1.6.tar.gz
Windows binaries: r-devel: mRm_1.1.6.zip, r-release: mRm_1.1.6.zip, r-oldrel: mRm_1.1.6.zip
OS X binaries: r-release: mRm_1.1.6.tgz, r-oldrel: mRm_1.1.6.tgz
Old sources: mRm archive

Reverse dependencies:

Reverse imports: iarm
Reverse suggests: psychomix

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