Cross-validation of item-restscore

Creates k random folds using rsample::vfold_cv(); "V-fold cross-validation (also known as k-fold cross-validation) randomly splits the data into V groups of roughly equal size (called "folds"). A resample of the analysis data consists of V-1 of the folds", see https://rsample.tidymodels.org/reference/vfold_cv.html

Usage

RIrestscoreKfold(data, k = 5, output = "table")

Arguments

data

Dataframe with item responses

k

Number of folds to use (default is 5)

output

Default table, option dataframe.

Details

Each V-1 dataset is used both for calculating item-restscore and summarises results based on BH adjusted p-values.