Htest                   Test for homoskedasticity at level one
MatSqrtInverse          Compute the inverse square root of a matrix
cdata.ex                Clustered dataset for centering example
engage                  Student engagement dataset (complete data).
engage.miss             Student engagement dataset (with missing data).
glance.CR2              Glance at goodness-of-fit statistics
group_center            Group-mean center a variable
group_mean              Computes the group mean of a variable
hdp                     Hospital, doctor, patient (hdp) dataset
lrtPV                   Likelihood Ratio Test with Model Results Using
                        Plausible Values
mixPV                   Fit Weighted Multilevel Models Using Plausible
                        Values
nmiss                   Amount of missing data per variable
pisa2012                USA data from PISA 2012
pool_pv                 Pool plausible values using Rubin's rules
ri_test1                Sample dataset 1 for testing the likelihood
                        ratio test
ri_test2                Sample dataset 2 for testing the likelihood
                        ratio test (LRT)
robust_mixed            Cluster robust standard errors with degrees of
                        freedom adjustments for lmerMod/lme objects
satdf                   Compute Satterthwaite degrees of freedom
sch29                   Data from 29 schools (based on the NELS
                        dataset) used for regression diagnostics
summary.mixPV           Create summary output from the mixPV function
summary_all             Use the summary function on a saved list of
                        mixPV results
suspend                 Suspension data from Virginia
thai                    Thai data from PISA
thai.sm                 Thai data from PISA (reduced)
tidy.CR2                Tidy a CR2 object
tidy.mixPV              Helper function to allow use with modelsummary
wide                    Wide dataset to be used for growth modeling
wscale                  Scale of Sampling Weights
