rptR: Repeatability Calculation for Gaussian and Non-Gaussian Ddata

In rptR: Repeatability for Gaussian and non-Gaussian data

Description

A collection of functions for caluculating point estimates, interval estimates and significance tests of the repeatability (intra-class correlation coefficient) of measurements. 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 functions print.rpt produces summaries in a more appealing format.

Note

Currently there is are a number of functions that use the two arguments y and groups to estimate standard repeatabilities (see e.g. function rpt). There is another group of functions (e.g. rpt.adj) that uses the agruments formula and grname, which allows estimating adjusted repeatabilities (controlling for fixed effects) and the estimation of multiple variance components simulatneously (multiple random effects). In the long run, the two groups of functions will be merged and will use the more flexible fomula arguments. So far, adjusted repeatabilities are only implemented for Gaussian data using REML estimation.

Author(s)

Holger Schielzeth ([e-mail]) & Shinichi Nakagawa ([e-mail])

References

Nakagawa, S. and Schielzeth, H. (2010) Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists. Biological Reviews 85: 935-956

rptR documentation built on May 2, 2019, 5:01 p.m.