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: 1.1.4
Published: 2013-04-27
Author: David Preinerstorfer
Maintainer: David Preinerstorfer <david.preinerstorfer at univie.ac.at>
License: GPL-2
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: mRm results

Downloads:

Package source: mRm_1.1.4.tar.gz
MacOS X binary: mRm_1.1.4.tgz
Windows binary: mRm_1.1.4.zip
Reference manual: mRm.pdf
Old sources: mRm archive

Reverse dependencies:

Reverse suggests: psychomix