mRm: An R Package for Conditional Maximum Likelihood Estimation in Mixed Rasch Models
Version 1.1.6

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
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("mRm")

Getting started

Package overview

Popular man pages

mrm: cMLE and model selection in binary mixed Rasch models.
mRm-package: Parameter estimation and model selection in mixed Rasch...
plot.mrm: Plot method for Objects of Class mrm.
print.mrm: Print method for Objects of Class mrm.
sim.mrm: Generating data matrices conforming to a mixed Rasch model
See all...

All man pages Function index File listing

Man pages

mrm: cMLE and model selection in binary mixed Rasch models.
mRm-package: Parameter estimation and model selection in mixed Rasch...
plot.mrm: Plot method for Objects of Class mrm.
print.mrm: Print method for Objects of Class mrm.
sim.mrm: Generating data matrices conforming to a mixed Rasch model

Functions

mRm Man page
mRm-package Man page
mrm Man page Source code
onAttach Source code
onUnload Source code
plot.mrm Man page Source code
print.mrm Man page Source code
resp.patterns Source code
sim.mrm Man page Source code
starting.values Source code

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
mRm documentation built on May 19, 2017, 9:37 a.m.

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