`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)