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