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 = 200,
cpu = 4,
rotation = "oblimin",
maxiter = 5000
)
Arguments
- data
Dataframe with item responses
- iterations
Number of bootstrap iterations
- cpu
Number of CPU cores to use
- rotation
Defaults to "oblimin"
- maxiter
Maximum number of iterations
Details
Outputs an object with complete results under $results and
percentile values at 95%, 99%, 99.5%, and 99.9%.