Repeatability Estimation for Gaussian and Non-Gaussian Data.
rptR
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")
Citation
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.