iccbeta
R packageA function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (in press). iccbeta quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.
You can install iccbeta
from CRAN using:
install.packages("iccbeta")
Or, you can be on the cutting-edge development version on GitHub using:
if(!requireNamespace("devtools")) install.packages("devtools")
::install_github("tmsalab/iccbeta") devtools
To use the iccbeta
package, load it into R
using:
library("iccbeta")
From there, calling the icc_beta()
function with either
a lmer()
model object or the desired individual components
will compute the intraclass correlation:
# Automatically calculate icc from model
= icc_beta(<lmer-model>)
results_model
# Calculate icc from individual terms.
= icc_beta(X, l2id, T, vy) results_component
Steven Andrew Culpepper and Herman Aguinis
iccbeta
packageTo ensure future development of the package, please cite
iccbeta
package if used during an analysis or simulation
studies. Citation information for the package may be acquired by using
in R:
citation("iccbeta")
GPL (>= 2)