Man pages for autoRasch
Semi-Automated Rasch Analysis

autoRaschautoRasch: A package for semi-automatic Rasch analysis
autoRaschOptionsautoRasch Optimization Parameters Setting
compute_scoreCompute the In-plus-out-of-questionnaire log likelihood (with...
correl02_multidimMultidimensional polytomous data set with 0.2 correlation
correl03_multidimMultidimensional polytomous data set with 0.3 correlation
correl04_multidimMultidimensional polytomous data set with 0.4 Correlation
correl05_multidimMultidimensional polytomous data set with 0.5 Correlation
correl06_multidimMultidimensional polytomous data set with 0.6 Correlation
createGroupCreate Mapping Matrix of DIF Groups
datasetThe Simulated Dataset
dicho_inh_dsetInhomogenous Dichotomous Data Set
dicho_md_dsetUncorrelated Multidimensional Dichotomous Data Set
fitFit statistics
generate_dataGenerate the artificial dataset
generic_modelEstimation of the generic form of the models
gpcmEstimation of The Generalized Partial Credit Model
gpcm_difEstimation of The Generalized Partial Credit Model with DIF
ldResidual Correlation
pcmEstimation of The Partial Credit Model (PCM)
pcm_difEstimation of The Partial Credit Model with DIF
plot_EVCPlot The Expected Value Curves
plot_ICCPlot The Item Characteristic Curves
plot_PImapPlot The Person-Item Map
polydif_inh_dsetThe Inhomogenous Polytomous Dataset containing DIF items
poly_inh_dsetThe Inhomogenous Polytomous Dataset
poly_md_dsetUncorrelated Multidimensional Polytomous Data Set
reliabilityCompute Reliability and Standard Error
searchStepwise Selection Search
shortDIFA Shorter Polytomous Dataset with DIF
short_poly_dataA Shorter Inhomogenous Polytomous Dataset
testlets_datasetMulti-testlets Polytomous Data Set
unidimensionalityUnidimensionality Check
withinItem_multidimWithin-item Multidimensional Polytomous Data Set
autoRasch documentation built on Oct. 19, 2022, 5:12 p.m.