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.

Install the latest version of this package by entering the following in R:
install.packages("mRm")
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

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

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