Practical Multilevel Modeling


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Documentation for package ‘MLMusingR’ version 0.3.2

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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
Htest Test for homoskedasticity at level one
MatSqrtInverse Compute the inverse square root of a matrix
nmiss Amount of missing data per variable
pisa2012 USA data from PISA 2012
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
suspend Suspension data from Virginia
thai Thai data from PISA
thai.sm Thai data from PISA (reduced)
tidy.CR2 Tidy a CR2 object
wide Wide dataset to be used for growth modeling