Practical Multilevel Modeling
Glance at goodness-of-fit statistics
Group-mean center a variable
Computes the group mean of a variable
Test for homoskedasticity at level one
Compute the inverse square root of a matrix
Amount of missing data per variable
Pipe operator
Cluster robust standard errors with degrees of freedom adjustments for...
Compute Satterthwaite degrees of freedom
Tidy a CR2 object
Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).