`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:

Or, you can be on the cutting-edge development version on GitHub using:

```
if(!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("tmsalab/iccbeta")
```

To use the `iccbeta`

package, load it into *R* using:

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
results_model = icc_beta(<lmer-model>)
# Calculate icc from individual terms.
results_component = icc_beta(X, l2id, T, vy)
```

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*:

GPL (>= 2)