Repeatability Estimation for Gaussian and Non-Gaussian Data

Estimating repeatability (intra-class correlation) from Gaussian, binary, proportion and count data.

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


Reference manual

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0.9.21 by Martin Stoffel, 16 days ago

Browse source code at

Authors: Martin Stoffel <>, Shinichi Nakagawa <>, Holger Schielzeth <>

Documentation:   PDF Manual  

GPL (>= 2) license

Imports methods, stats, lme4, parallel, pbapply

Suggests testthat, knitr, rmarkdown

Imported by aniDom.

See at CRAN