Estimates item and person parameters from data and simulates data fitting the
RM or PCM, then estimates the largest eigenvalue from residuals.
Usage
RIbootPCA(data, iterations = 1000, cpu = 4)
Arguments
- data
Dataframe with item responses
- iterations
Number of bootstrap iterations
- cpu
Number of CPU cores to use
Details
Outputs an object with complete results under $results and
percentile values at 95%, 99%, 99.5%, and 99.9%.