Package index • easyRasch

All functions

RI_iarm_ICCplot(): Item Characteristic Curves
RI_iarm_person_estimates(): Temporary fix for upstream bug in iarm::person_estimates()
RI_iarm_persons_mle(): Temporary fix for upstream bug in iarm::person_estimates()
RIallresp(): Create table with summarized responses across all items.
RIbardiv(): Create a stacked diverging bar graph to show response distribution
RIbarplot(): Create individual bar plots for all items.
RIbarstack(): Create a stacked bar graph to show response distribution
RIbootLRT(): Bootstrapped Likelihood Ratio Test
RIbootPCA(): Parametric bootstrap procedure for PCA of Rasch model residuals
RIbootRestscore(): Item-restscore bootstrapped
RIcheckdata(): Check dataframe
RIciccPlot(): Conditional Item Characteristic Curves
RIcolorlistitems(): Show items based on itemlabels file, with coloring options
RIcrel(): Conditional reliability using RMU
RIdemographics(): Create table for demographic variables
RIdifFigThresh(): Create a DIF line graph for item PCM thresholds
RIdifFigTime(): Create a DIF line graph over time, showing groups' PCM item locations
RIdifFigure(): Create a DIF line graph, showing groups' PCM item locations
RIdifFigureLR(): DIF PCM analysis with panel figure output for items' average locations
RIdifFigureRM(): Create a DIF line graph, showing groups' RM item locations
RIdifTable(): DIF PCM analysis - requires having set up dif.variables previously
RIdifTable2(): DIF PCM interaction analysis
RIdifTableLR(): DIF PCM analysis with table output for item locations
RIdifTableRM(): DIF analysis dichotomous - requires having set up dif.variables
RIdifThreshFigLR(): DIF PCM analysis with panel figure output for item thresholds
RIdifThreshTblLR(): DIF PCM analysis with table output for item thresholds
RIdifTileplot(): Check response distribution prior to DIF analysis
RIestThetas(): Person location estimation
RIestThetasCATr(): Person location estimation with parallel processing
RIestThetasOLD(): Person location estimation (catR version)
RIgetResidCor(): Get simulation based cutoff values for Yen's Q^3^ residual correlations
RIgetResidCorG2(): Get simulation based cutoff values for G^2^ local dependency test
RIgetfit(): Get simulation based cutoff values for item fit values
RIgetfitPlot(): Creates a plot with distribution of simulation based item fit values
RIheatmap(): Create a Guttman-like tileplot/heatmap
RIinfitKfold(): Cross-validation of conditional item infit
RIinfitKfoldPlot(): Plot k-fold infit based on raw output
RIinfitLoc(): Plot with infit ZSTD and item location ZSTD is sample size sensitive, see "RIitemfitPCM" for options
RIitemCats(): Individual item category probability plots
RIitemHierarchy(): Create a figure showing items and thresholds (with CI)
RIitemcols(): Item response distribution figure
RIitemfit(): Calculate conditional infit MSQ statistics
RIitemfitPCM() deprecated: Create table with Rasch PCM model item fit values for each item.
RIitemfitPCM2() deprecated: Create table with Rasch PCM model item fit values for each item.
RIitemfitRM() deprecated: Create table with Rasch dichotomous model item fit values for each item.
RIitemparams(): Item parameters summary
RIlistItemsMargin(): Create a table with the items used in a dataframe
RIlistitems(): Show items based on itemlabels file
RIloadLoc(): Generates a plot showing the first residual contrast loadings based on a PCA of Rasch model residuals vs item locations.
RImissing(): Creates a figure with item missing data descriptives for items
RImissingP(): Creates a figure with item missing data descriptives for participants
RIoutfitLoc(): Plot with outfit ZSTD and item location ZSTD is sample size sensitive, see "RIitemfitPCM"
RIpartgamDIF(): Partial gamma analysis of Differential Item Functioning
RIpartgamLD(): Partial gamma analysis of local dependence
RIpboot(): Parametric bootstrapping function that outputs simulated datasets
RIpcmPCA(): Fits a Rasch PCM using eRm, and conducts a PCA of residuals to get eigenvalues using psych::pca() and reports the top 5 values.
RIpfit(): Person fit
RIrawdist(): Floor/ceiling effects based on raw data (ordinal scores). Needs at least one data point in each response category to produce correct footnote text.
RIreliability(): Reliability metrics
RIresidcorr(): Correlation matrix of Rasch residuals using Yen's Q^3^
RIresidcorrG2(): Correlation matrix of Rasch residuals using G^2^
RIrestscore(): Item-restscore
RIrestscoreKfold(): Cross-validation of item-restscore
RIrmPCA(): Fits the Rasch model for dichotomous data using eRm::RM(), and conducts a PCA of residuals to get eigenvalues.
RIscoreSE(): Raw sum score to logit score transformation table & figure
RItargeting(): Targeting, Wright map derivative.
RItif() deprecated: Reliability of test
RItileplot(): Create tile plot for all items, also showing the count of responses in each response category for each item
RMUreliability(): Estimate reliability (Relative Measurement Uncertainty) from Bayesian measurement models
RIrelRep(): Reliability Representativeness of Coefficient Alpha or Omega
SimPartialScore(): Simulate polytomous Rasch model data for a set of items
SimPolyItem(): Simulate polytomous Rasch model data for a single item
kbl_rise(): A kableExtra function to simplify table creation
theme_rise(): A simple ggplot theme for RISE formatting