rasch: Models and Diagnostics for Rasch Measurement Theory

Fits models for Rasch Measurement Theory, whose defining measurement properties include sufficiency and invariance. Available models include the dichotomous Rasch, partial credit, rating scale, many-facet, extended frame of reference and explanatory models. Explanatory modelling supports predictors at the item and threshold levels. Comparative judgement models are available for dichotomous and ordered pairwise responses, with support for extended frames of reference and explanatory predictors. Functions support estimation and examination of model fit, targeting, reliability, dimensionality, local dependence, differential item functioning, equating and simulation. A graphical interface for fitting models and examining results is provided through an interactive 'shiny' application.

Version:	1.12.1
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics, grDevices, utils, parallel, Rcpp
LinkingTo:	Rcpp
Suggests:	testthat (≥ 3.0.0), shiny, bslib, DT, bsicons, htmltools, xml2, knitr, rmarkdown, eRm, sirt, psychotools, mirt, ShinyItemAnalysis, callr, WrightMap
Published:	2026-09-13
DOI:	10.32614/CRAN.package.rasch
Author:	Joshua A. McGrane [aut, cre]
Maintainer:	Joshua A. McGrane <drjoshmcgrane at gmail.com>
BugReports:	https://github.com/drjoshmcgrane/rasch/issues
License:	MIT + file LICENSE
URL:	https://drjoshmcgrane.github.io/rasch/, https://github.com/drjoshmcgrane/rasch
NeedsCompilation:	yes
Citation:	rasch citation info
Materials:	README, NEWS
CRAN checks:	rasch results

Documentation:

Reference manual:

rasch.html , rasch.pdf

Vignettes:

Data structures for rasch models (source, R code) DIF with several person factors and repeated measures (source, R code) Explanatory Rasch models (source, R code) The Extended Frame of Reference model (source, R code) Many-facet Rasch measurement (source, R code) Rasch analysis of comparative judgements (source, R code) Simulation-based checks of Rasch diagnostics (source, R code) A Rasch analysis workflow (source, R code)

Downloads:

Package source:	rasch_1.12.1.tar.gz
Windows binaries:	r-devel: rasch_1.12.0.zip, r-release: rasch_1.12.0.zip, r-oldrel: rasch_1.12.0.zip
macOS binaries:	r-release (arm64): rasch_1.12.0.tgz, r-oldrel (arm64): rasch_1.12.1.tgz, r-release (x86_64): rasch_1.12.1.tgz, r-oldrel (x86_64): rasch_1.12.1.tgz
Old sources:	rasch archive

Linking:

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