iarm: Item Analysis in Rasch Models

Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).

Version:	0.4.2
Depends:	R (≥ 3.5.0), eRm, ggplot2
Imports:	gridExtra, Hmisc, PP, psychotools, stats, utils, vcdExtra
Published:	2020-09-12
Author:	Marianne Mueller [aut, cre], Pedro Henrique Ribeiro Santiago [ctb]
Maintainer:	Marianne Mueller <marianne.mueller at math.ethz.ch>
License:	GPL-2
NeedsCompilation:	no
Materials:	NEWS
In views:	Psychometrics
CRAN checks:	iarm results

Documentation:

Reference manual:

iarm.pdf

Downloads:

Package source:	iarm_0.4.2.tar.gz
Windows binaries:	r-devel: iarm_0.4.2.zip, r-release: iarm_0.4.2.zip, r-oldrel: iarm_0.4.2.zip
macOS binaries:	r-release (arm64): iarm_0.4.2.tgz, r-oldrel (arm64): iarm_0.4.2.tgz, r-release (x86_64): iarm_0.4.2.tgz, r-oldrel (x86_64): iarm_0.4.2.tgz
Old sources:	iarm archive

Linking:

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