`rptR`

provides a collection of functions for calculating point estimates, confidence intervals and significance tests of the repeatability (intra-class correlation coefficient) of measurements, as well as on the variances themselves. The function `rpt`

is a the core functions that calls more specialised functions as required. Specialised functions can also be called directly (see `?rpt`

for details). All functions return lists of values. The function `?summary.rpt`

produces summaries in a detailed format, whereby `?plot.rpt`

plots the distributions of bootstrap or permutation test estimates.

- get the latest development version from github with

```
# install.packages("devtools")
# building vignettes might take some time. Set build_vignettes = FALSE for a quick download.
devtools::install_github("mastoffel/rptR", build_vignettes = TRUE)
# tutorial
browseVignettes("rptR")
```

Stoffel, M. A., Nakagawa, S. and Schielzeth, H. (2017), rptR: repeatability estimation and variance decomposition by generalized linear mixed-effects models. Methods Ecol Evol. 8: 1639-1644.