The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Build Status Package-License CRAN Version Badge CRAN Status RStudio CRAN Mirror’s Monthly Downloads RStudio CRAN Mirror’s Total Downloads Coverage status

iccbeta R package

A 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.

Installation

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")
devtools::install_github("tmsalab/iccbeta")

Usage

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
results_model = icc_beta(<lmer-model>)

# Calculate icc from individual terms.
results_component = icc_beta(X, l2id, T, vy)

Authors

Steven Andrew Culpepper and Herman Aguinis

Citing the iccbeta package

To 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")

License

GPL (>= 2)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.