Package index • easyRasch2

Item Fit

Conditional item fit statistics with simulation-based cutoffs

RMitemInfit(): Conditional Item Infit MSQ
RMitemInfitCutoff(): Simulation-Based Infit MSQ Cutoff Determination
RMitemInfitPlot() RMitemInfitCutoffPlot(): Plot Distribution of Simulated Infit and Outfit MSQ Values
RMitemInfitMI(): Conditional Item Infit MSQ for Multiply Imputed Data
RMitemInfitCutoffMI(): Simulation-Based Infit MSQ Cutoff Determination for Multiply Imputed Data
RMitemICCPlot(): Conditional Item Characteristic Curves
RMitemCatProb(): Item Category Probability Curves

Item-restscore correlation analysis

Q3 residual correlations & partial gammal LD with simulation-based cutoffs

RMlocdepQ3(): \(Q_3\) Residual Correlations for Local Dependence Assessment
RMlocdepQ3Cutoff(): Simulation-Based \(Q_3\) Cutoff Determination
RMlocdepQ3Plot(): Plot Distribution of Simulated \(Q_3\) Residual Correlations
RMlocdepGamma(): Partial Gamma Local Dependence Analysis
RMlocdepGammaCutoff(): Simulation-Based Partial Gamma LD Cutoff Determination
RMlocdepGammaPlot(): Plot Distribution of Simulated Partial Gamma LD Values

DIF assessment functions

RMdifLR(): DIF analysis via Andersen's likelihood-ratio test
RMdifTree(): Tree-based DIF analysis with effect-size classification
RMdifGamma(): Partial Gamma DIF Analysis
RMdifGammaCutoff(): Simulation-Based Partial Gamma DIF Cutoff Determination
RMdifGammaPlot(): Plot Distribution of Simulated Partial Gamma DIF Values

PCA of residuals, and more to come

RMdimCFACutoff(): Simulated null distribution for one-factor CFA fit and loadings under PCM unidimensionality
RMdimCFA(): Observed one-factor CFA fit and loadings vs a simulated reference
RMdimCFAPlot(): Plot observed CFA fit and loadings against the simulated null
RMdimResidualPCA(): PCA of Standardized Rasch Residuals
RMdimResidualPCACutoff(): Simulation-based Cutoff for First-Contrast Eigenvalue
RMdimMartinLof(): Martin-Löf Test of Unidimensionality
RMdimMartinLofResiduals(): Standardised Residuals from the Joint Subscore Distribution

Item difficulty/threshold and person-location estimation

Per-respondent fit statistics with resampling-based p-values

Targeting and other plots/tables

Package builtin data