A general and simple method for obtaining R2 from generalized linear mixed‐effects models
Abstract
Summary The use of both linear and generalized linear mixed‐effects models ( LMM s and GLMM s) has become popular not only in social and medical sciences, but also in biological sciences, especially in the field of ecology and evolution. Information criteria, such as Akaike Information Criterion ( AIC ), are usually presented as model comparison tools for mixed‐effects models. The presentation of ‘variance explained’ ( R 2 ) as a relevant...
Paper Details
Title
A general and simple method for obtaining R2 from generalized linear mixed‐effects models
Published Date
Dec 3, 2012
Volume
4
Issue
2
Pages
133 - 142
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