R: Computes R Squared for Mixed (Multilevel) Models

# Computes R Squared for Mixed (Multilevel) Models

## Documentation for package ‘r2glmm’ version 0.1.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

calc_sgv | Compute the standardized generalized variance (SGV) of a blocked diagonal matrix.
cmp_R2 | Compute R2 with a specified C matrix
glmPQL | Compute PQL estimates for fixed effects from a generalized linear model.
is.CompSym | Checks if a matrix is Compound Symmetric.
make.partial.C | Generate partial contrast matrices
plot.R2 | Visualize standardized effect sizes and model R squared
pqlmer | pqlmer
print.R2 | Print the contents of an R2 object
r2beta | r2beta Compute R Squared for Mixed Models
r2dt | R Squared Difference Test (R2DT). Test for a statistically significant difference in generalized explained variance between two candidate models.