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easyRaschBayes  

Bayesian Rasch Analysis Using 'brms'
View on CRAN: Click here


Download and install easyRaschBayes package within the R console
Install from CRAN:
install.packages("easyRaschBayes")

Install from Github:
library("remotes")
install_github("cran/easyRaschBayes")

Install by package version:
library("remotes")
install_version("easyRaschBayes", "0.3.0")



Attach the package and use:
library("easyRaschBayes")
Maintained by
Magnus Johansson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-11
Latest Update: 2026-03-11
Description:
Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports both dichotomous and polytomous Rasch models. Features include posterior predictive item fit, conditional infit, item-restscore associations, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
How to cite:
Magnus Johansson (2026). easyRaschBayes: Bayesian Rasch Analysis Using 'brms'. R package version 0.3.0, https://cran.r-project.org/web/packages/easyRaschBayes. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.1.0 (2026-03-11 09:10), 0.2.0.1 (2026-04-23 09:10), 0.2.0 (2026-03-28 14:40)
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Complete documentation for easyRaschBayes
Functions, R codes and Examples using the easyRaschBayes R package
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