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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.

    # 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


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.