Package: easyRaschBayes 0.3.0

easyRaschBayes: Bayesian Rasch Analysis Using 'brms'

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>.

Authors:Magnus Johansson [aut, cre], Giacomo Bignardi [ctb], Kristoffer Magnusson [ctb]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
easyRaschBayes/json (API)

# Install 'easyRaschBayes' in R:

install.packages('easyRaschBayes', repos = c('https://pgmj.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pgmj/easyraschbayes/issues

Pkgdown/docs site:https://pgmj.github.io

On CRAN:

4.65 score 6 scripts 455 downloads 32 exports 78 dependencies

Last updated from:06a2b9d619. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	202
source / vignettes	OK	253
linux-release	OK	210
macos-release	OK	198
macos-oldrel	OK	250
windows-devel	OK	154
windows-release	OK	151
windows-oldrel	OK	117
wasm-release	OK	152

Exports:dif_statistic fit_statistic_pcm fit_statistic_rm hurdle_acat hurdle_acat_stanvars infit_post infit_statistic infit_statistic_hpcm item_parameters item_parameters_hpcm item_restscore_post item_restscore_statistic log_lik_hurdle_acat person_parameters person_parameters_hpcm plot_bars plot_icc plot_icc_hpcm plot_ipf plot_residual_pca plot_stackedbars plot_targeting plot_targeting_hpcm plot_tile posterior_epred_hurdle_acat posterior_predict_hurdle_acat posterior_to_prior q3_post q3_statistic q3_statistic_hpcm RMUreliability RMUreliability_hpcm

Dependencies:abind backports bayesplot BH bridgesampling brms Brobdingnag callr checkmate cli coda codetools cpp11 desc digest distributional dplyr farver forcats future future.apply generics ggdist ggplot2 ggridges globals glue gridExtra gtable inline isoband labeling lattice lifecycle listenv loo magrittr Matrix matrixStats mgcv mvtnorm nleqslv nlme numDeriv otel parallelly pillar pkgbuild pkgconfig plyr posterior processx ps purrr quadprog QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel reshape2 rlang rstan rstantools S7 scales StanHeaders stringi stringr tensorA tibble tidyr tidyselect utf8 vctrs viridisLite withr

Rasch Partial Credit Model with easyRaschBayes

Rendered frompcm-rasch-analysis.Rmdusingknitr::rmarkdown

Last update: 2026-03-27
Started: 2026-02-27

Help page	Topics
Differential Item Functioning (DIF) Analysis for Bayesian IRT Models	dif_statistic
Posterior Predictive Item Fit Statistic for Bayesian IRT Models	fit_statistic_pcm
Posterior Predictive Item Fit Statistic for Binary Bayesian IRT Models	fit_statistic_rm
Hurdle Partial Credit Model Custom brms Family	hurdle_acat
Summarize and Plot Posterior Predictive Infit Statistics	infit_post
Posterior Predictive Infit Statistic for Bayesian IRT Models	infit_statistic
Posterior Predictive Infit Statistic for the Hurdle Partial Credit Model	infit_statistic_hpcm
Extract Item Parameters from a Bayesian Rasch Model	item_parameters
Extract Item Parameters from a Hurdle Partial Credit Model	item_parameters_hpcm
Summarize and Plot Posterior Predictive Item-Restscore Associations	item_restscore_post
Posterior Predictive Item-Restscore Association for Bayesian IRT Models	item_restscore_statistic
Extract Person Parameters from a Bayesian Rasch Model	person_parameters
Extract Person Parameters from a Hurdle Partial Credit Model	person_parameters_hpcm
Item Response Distribution Bar Chart	plot_bars
Item Characteristic Curves with Class Intervals	plot_icc
Item Characteristic Curves with Class Intervals for Hurdle PCM	plot_icc_hpcm
Item Category Probability Function Curves for Polytomous IRT Models	plot_ipf
Residual PCA Contrast Plot for Bayesian IRT Models	plot_residual_pca
Stacked Bar Chart of Item Response Distributions	plot_stackedbars
Person-Item Map (Targeting Plot) for Bayesian IRT Models	plot_targeting
Person-Item Targeting Plot for the Hurdle Partial Credit Model	plot_targeting_hpcm
Tile Plot of Item Response Distributions	plot_tile
Extract Informative Priors from a Fitted Bayesian IRT Model	posterior_to_prior
Summarize and Plot Posterior Predictive Q3 Residual Correlations	q3_post
Posterior Predictive Q3 Residual Correlations for Bayesian IRT Models	q3_statistic
Posterior Predictive Q3 Residual Correlations for the Hurdle PCM	q3_statistic_hpcm
Estimate reliability (Relative Measurement Uncertainty) from Bayesian measurement models	RMUreliability
Relative Measurement Uncertainty Reliability for the Hurdle PCM	RMUreliability_hpcm

Package: easyRaschBayes 0.3.0

easyRaschBayes: Bayesian Rasch Analysis Using 'brms'

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