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]

easyRaschBayes_0.3.0.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
easyRaschBayes/json (API)
NEWS

# 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:

Conda:

4.60 score 5 scripts 632 downloads 32 exports 77 dependencies

Last updated from:7a953d59d5. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE215
source / vignettesOK244
linux-release-x86_64NOTE216
macos-release-arm64NOTE146
macos-oldrel-arm64NOTE128
windows-develNOTE209
windows-releaseNOTE150
windows-oldrelNOTE147
wasm-releaseOK148

Exports:dif_statisticfit_statistic_pcmfit_statistic_rmhurdle_acathurdle_acat_stanvarsinfit_postinfit_statisticinfit_statistic_hpcmitem_parametersitem_parameters_hpcmitem_restscore_postitem_restscore_statisticlog_lik_hurdle_acatperson_parametersperson_parameters_hpcmplot_barsplot_iccplot_icc_hpcmplot_ipfplot_residual_pcaplot_stackedbarsplot_targetingplot_targeting_hpcmplot_tileposterior_epred_hurdle_acatposterior_predict_hurdle_acatposterior_to_priorq3_postq3_statisticq3_statistic_hpcmRMUreliabilityRMUreliability_hpcm

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverforcatsfuturefuture.applygenericsggdistggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Rasch Partial Credit Model with easyRaschBayes

Rendered frompcm-rasch-analysis.Rmdusingknitr::rmarkdownon May 21 2026.

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

Readme and manuals

Help Manual

Help pageTopics
Differential Item Functioning (DIF) Analysis for Bayesian IRT Modelsdif_statistic
Posterior Predictive Item Fit Statistic for Bayesian IRT Modelsfit_statistic_pcm
Posterior Predictive Item Fit Statistic for Binary Bayesian IRT Modelsfit_statistic_rm
Hurdle Partial Credit Model Custom brms Familyhurdle_acat
Summarize and Plot Posterior Predictive Infit Statisticsinfit_post
Posterior Predictive Infit Statistic for Bayesian IRT Modelsinfit_statistic
Posterior Predictive Infit Statistic for the Hurdle Partial Credit Modelinfit_statistic_hpcm
Extract Item Parameters from a Bayesian Rasch Modelitem_parameters
Extract Item Parameters from a Hurdle Partial Credit Modelitem_parameters_hpcm
Summarize and Plot Posterior Predictive Item-Restscore Associationsitem_restscore_post
Posterior Predictive Item-Restscore Association for Bayesian IRT Modelsitem_restscore_statistic
Extract Person Parameters from a Bayesian Rasch Modelperson_parameters
Extract Person Parameters from a Hurdle Partial Credit Modelperson_parameters_hpcm
Item Response Distribution Bar Chartplot_bars
Item Characteristic Curves with Class Intervalsplot_icc
Item Characteristic Curves with Class Intervals for Hurdle PCMplot_icc_hpcm
Item Category Probability Function Curves for Polytomous IRT Modelsplot_ipf
Residual PCA Contrast Plot for Bayesian IRT Modelsplot_residual_pca
Stacked Bar Chart of Item Response Distributionsplot_stackedbars
Person-Item Map (Targeting Plot) for Bayesian IRT Modelsplot_targeting
Person-Item Targeting Plot for the Hurdle Partial Credit Modelplot_targeting_hpcm
Tile Plot of Item Response Distributionsplot_tile
Extract Informative Priors from a Fitted Bayesian IRT Modelposterior_to_prior
Summarize and Plot Posterior Predictive Q3 Residual Correlationsq3_post
Posterior Predictive Q3 Residual Correlations for Bayesian IRT Modelsq3_statistic
Posterior Predictive Q3 Residual Correlations for the Hurdle PCMq3_statistic_hpcm
Estimate reliability (Relative Measurement Uncertainty) from Bayesian measurement modelsRMUreliability
Relative Measurement Uncertainty Reliability for the Hurdle PCMRMUreliability_hpcm