rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models

A. Stoffel, Martin; Nakagawa, Shinichi; Schielzeth, Holger

doi:10.1111/2041-210x.12797

Public

rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models

Published in Methods in Ecology and Evolution • Apr 21, 2017

Authors:

Martin A. Stoffel

Shinichi Nakagawa

Holger Schielzeth

Abstract

Summary Intra‐class correlations ( ICC ) and repeatabilities ( R ) are fundamental statistics for quantifying the reproducibility of measurements and for understanding the structure of biological variation. Linear mixed effects models offer a versatile framework for estimating ICC and R . However, w...

Subject

Repeatability

Estimator

Statistics

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