Package: easyRasch2 0.8.0

easyRasch2: Psychometric Analysis with Rasch Measurement Theory

Streamlines reproducible Rasch measurement theory analyses for ordinal item-response data, combining estimation routines from 'eRm', 'psychotools', 'mirt', 'iarm', and 'lavaan' with consistent diagnostic, plotting, and reporting layers. Covers the four basic psychometric criteria summarised by Christensen et al. (2021) <doi:10.1111/sms.13908> -- unidimensionality, local independence, ordered response category thresholds, and invariance across subgroups -- together with item fit, targeting, reliability, category functioning, and descriptive item-response plots. A distinguishing feature is the use of simulation-based critical values to replace rule-of-thumb cutoffs for conditional infit mean-square, Yen's Q3 local-dependence statistic, the largest residual-PCA eigenvalue, and ordinal CFA fit indices. Outputs are knitr::kable() tables and 'ggplot2' figures suitable for direct inclusion in 'Quarto' and 'R Markdown' reports.

Authors:Magnus Johansson [aut, cre], Nicklas Korsell [ctb], Mirka Henninger [ctb], Jan Radek [ctb]

easyRasch2_0.8.0.tar.gz
easyRasch2_0.8.0.zip(r-4.7)easyRasch2_0.8.0.zip(r-4.6)easyRasch2_0.8.0.zip(r-4.5)
easyRasch2_0.8.0.tgz(r-4.6-any)easyRasch2_0.8.0.tgz(r-4.5-any)
easyRasch2_0.8.0.tar.gz(r-4.7-any)easyRasch2_0.8.0.tar.gz(r-4.6-any)
easyRasch2_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
easyRasch2/json (API)
NEWS

# Install 'easyRasch2' in R:
install.packages('easyRasch2', repos = c('https://pgmj.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pgmj/easyrasch2/issues

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

Datasets:
  • phq9 - PHQ-9 Depression Screener

On CRAN:

Conda:

psychometricsraschrasch-measurement-model

4.70 score 4 scripts 34 exports 83 dependencies

Last updated from:0a8e2e816e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK326
source / vignettesOK274
linux-release-x86_64OK328
macos-release-arm64OK188
macos-oldrel-arm64OK149
windows-develOK335
windows-releaseOK301
windows-oldrelOK259
wasm-releaseOK191

Exports:RMdifGammaRMdifGammaCutoffRMdifGammaPlotRMdifLRRMdifTreeRMdimCFACutoffRMdimCFAPlotRMdimMartinLofRMdimMartinLofResidualsRMdimResidualPCARMdimResidualPCACutoffRMitemCatProbRMitemHierarchyRMitemICCPlotRMitemInfitRMitemInfitCutoffRMitemInfitCutoffMIRMitemInfitCutoffPlotRMitemInfitMIRMitemRestscoreRMitemRestscoreBootRMlocdepGammaRMlocdepGammaCutoffRMlocdepGammaPlotRMlocdepQ3RMlocdepQ3CutoffRMlocdepQ3PlotRMplotBarRMplotStackedbarRMplotTileRMreliabilityRMscoreSERMtargetingRMUreliability

Dependencies:audiobeeprbriocallrclassclicliprclustercodetoolscolorspacecrayondcurverDerivdescdiffobjdigestdplyre1071eRmevaluatefsfuturefuture.applygenericsglobalsglueGPArotationgridExtragtablehighrjsonliteknitrlatticelifecyclelistenvmagrittrMASSMatrixmgcvmiraimirtmnormtnanonextnlmeotelparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrproxypspsychpsychotoolsqs2R.methodsS3R.ooR.utilsR6RcppRcppArmadilloRcppParallelrlangrprojrootsessioninfoSimDesignsplines2stringfishtestthattibbletidyselectutf8vctrsveganwaldowithrxfunyaml

A Rasch analysis workflow with easyRasch2

Rendered fromeasyRasch2.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-05-28
Started: 2026-05-22

Readme and manuals

Help Manual

Help pageTopics
PHQ-9 Depression Screener (NHANES Subsample)phq9
Partial Gamma DIF AnalysisRMdifGamma
Simulation-Based Partial Gamma DIF Cutoff DeterminationRMdifGammaCutoff
Plot Distribution of Simulated Partial Gamma DIF ValuesRMdifGammaPlot
DIF analysis via Andersen's likelihood-ratio testRMdifLR
Tree-based DIF analysis with effect-size classificationRMdifTree
Posterior-predictive CFA fit-index cutoffs under PCM unidimensionalityRMdimCFACutoff
Plot observed CFA fit indices against the simulated null distributionRMdimCFAPlot
Martin-Lof Test of UnidimensionalityRMdimMartinLof
Standardised Residuals from the Joint Subscore DistributionRMdimMartinLofResiduals
PCA of Standardized Rasch ResidualsRMdimResidualPCA
Simulation-based Cutoff for First-Contrast EigenvalueRMdimResidualPCACutoff
Item Category Probability CurvesRMitemCatProb
Item-Threshold Hierarchy PlotRMitemHierarchy
Conditional Item Characteristic CurvesRMitemICCPlot
Conditional Item Infit MSQRMitemInfit
Simulation-Based Infit MSQ Cutoff DeterminationRMitemInfitCutoff
Simulation-Based Infit MSQ Cutoff Determination for Multiply Imputed DataRMitemInfitCutoffMI
Plot Distribution of Simulated Infit and Outfit MSQ ValuesRMitemInfitCutoffPlot
Conditional Item Infit MSQ for Multiply Imputed DataRMitemInfitMI
Item Restscore AnalysisRMitemRestscore
Bootstrap Item-Restscore Misfit DetectionRMitemRestscoreBoot
Partial Gamma Local Dependence AnalysisRMlocdepGamma
Simulation-Based Partial Gamma LD Cutoff DeterminationRMlocdepGammaCutoff
Plot Distribution of Simulated Partial Gamma LD ValuesRMlocdepGammaPlot
Q3 Residual Correlations for Local Dependence AssessmentRMlocdepQ3
Simulation-Based Q3 Cutoff DeterminationRMlocdepQ3Cutoff
Plot Distribution of Simulated Q3 Residual CorrelationsRMlocdepQ3Plot
Item Response Distribution Bar ChartRMplotBar
Stacked Bar Chart of Item Response DistributionsRMplotStackedbar
Tile Plot of Item Response DistributionsRMplotTile
Reliability metrics for a Rasch modelRMreliability
Raw-Score to Logit Score Transformation TableRMscoreSE
Person-Item Targeting Plot (Wright Map)RMtargeting
Relative Measurement Uncertainty (RMU)RMUreliability