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.

AuthorDavid Preinerstorfer
Date of publication2016-12-27 14:15:45
MaintainerDavid Preinerstorfer <david.preinerstorfer@univie.ac.at>
LicenseGPL-2
Version1.1.6

View on CRAN

Files

mRm
mRm/src
mRm/src/Makevars
mRm/src/selrow.cpp
mRm/src/selcol.cpp
mRm/src/error.h
mRm/src/matrix_forward_iterator.h
mRm/src/algorithm.h
mRm/src/symfuncomplete.cpp
mRm/src/em.cpp
mRm/src/stat.h
mRm/src/matrix_random_access_iterator.h
mRm/src/ide.h
mRm/src/smath.h
mRm/src/symfunc.cpp
mRm/src/la.h
mRm/src/defs.h
mRm/src/matrix_bidirectional_iterator.h
mRm/src/datablock.h
mRm/src/matrix.h
mRm/NAMESPACE
mRm/NEWS
mRm/R
mRm/R/plot.mrm.R mRm/R/sim.mrm.R mRm/R/summary.mrm.R mRm/R/print.mrm.R mRm/R/mrm.R mRm/R/starting.values.R mRm/R/resp.patterns.R mRm/R/zzz.R
mRm/MD5
mRm/DESCRIPTION
mRm/man
mRm/man/plot.mrm.Rd mRm/man/sim.mrm.Rd mRm/man/mrm.Rd mRm/man/print.mrm.Rd mRm/man/mRm-package.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.