rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models
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, while point estimation and significance testing by likelihood ratio tests is straightforward, the quantification of uncertainty is not as easily...
Paper Details
Title
rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models
Published Date
May 30, 2017
Volume
8
Issue
11
Pages
1639 - 1644
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