Measurement Invariance Assessment Using Random Effects Models and Shrinkage

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Documentation for package ‘MIRES’ version 0.1.1

• DESCRIPTION file.
• Package NEWS.

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.