R: Measurement Invariance Assessment Using Random Effects Models and Shrinkage

# Measurement Invariance Assessment Using Random Effects Models and Shrinkage

## Documentation for package ‘MIRES’ version 0.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

MIRES-package | The 'MIRES' package.
MIRES | The 'MIRES' package.
mires | Fit mixed effects measurement model for invariance assessment.
pairwise | Pairwise comparisons of random parameters.
print.mires | Print function for mires objects.
print.summary.mires | Print method for MIRES summary objects.
ranef | Extract random effects of each group from MIRES model.
ranef.mires | Extract random effects of each group from MIRES model.
sim_all | Simulated data: All parameters vary (Full non-invariance)
sim_intercepts | Simulated data: Intercepts vary
sim_items | Simulated data: Half the items are non-invariant.
sim_loadings | Simulated data: Loadings vary
sim_none | Simulated data: No variance (Full invariance)
sim_resid | Simulated data: Residual variances vary
summary.mires | Summary method for mires object.