Man pages for MLMusingR
Practical Multilevel Modeling

cdata.exClustered dataset for centering example
engageStudent engagement dataset (complete data).
engage.missStudent engagement dataset (with missing data).
glance.CR2Glance at goodness-of-fit statistics
group_centerGroup-mean center a variable
group_meanComputes the group mean of a variable
hdpHospital, doctor, patient (hdp) dataset
HtestTest for homoskedasticity at level one
lrtPVLikelihood Ratio Test with Model Results Using Plausible...
MatSqrtInverseCompute the inverse square root of a matrix
mixPVFit Weighted Multilevel Models Using Plausible Values
nmissAmount of missing data per variable
pipePipe operator
pisa2012USA data from PISA 2012
pool_pvPool plausible values using Rubin's rules
ri_test1Sample dataset 1 for testing the likelihood ratio test
ri_test2Sample dataset 2 for testing the likelihood ratio test (LRT)
robust_mixedCluster robust standard errors with degrees of freedom...
satdfCompute Satterthwaite degrees of freedom
sch29Data from 29 schools (based on the NELS dataset) used for...
summary_allUse the summary function on a saved list of mixPV results
summary.mixPVCreate summary output from the mixPV function
suspendSuspension data from Virginia
thaiThai data from PISA
thai.smThai data from PISA (reduced)
tidy.CR2Tidy a CR2 object
tidy.mixPVHelper function to allow use with modelsummary
wideWide dataset to be used for growth modeling
wscaleScale of Sampling Weights
MLMusingR documentation built on April 3, 2025, 5:43 p.m.