R: Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments

# Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments

## Documentation for package ‘CR2’ version 0.2.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

clustSE | Cluster robust standard errors with degrees of freedom adjustments (for lm and glm objects)
crct | Simulated data from 18 schools (from a cluster randomized controlled trial)
getV | Get V matrix for merMod objects
glance.CR2 | Glance at goodness-of-fit statistics
gpadat | Grade point average (GPA) data of students from 25 schools
MatSqrtInverse | Compute the inverse square root of a matrix
ncvMLM | Testing for nonconstant variance (ncv)
robust_mixed | Cluster robust standard errors with degrees of freedom adjustments for lmerMod/lme objects
satdf | Compute Satterthwaite degrees of freedom
sch25 | Data from 25 schools (based on the NELS dataset)
sharedat | Data from Project SHARE
tidy.CR2 | Tidy a CR2 object