4.6 Article

Extension of Nakagawa & Schielzeth's R2GLMM to random slopes models

期刊

METHODS IN ECOLOGY AND EVOLUTION
卷 5, 期 9, 页码 944-946

出版社

WILEY
DOI: 10.1111/2041-210X.12225

关键词

coefficient of determination; generalized linear mixed model; random slopes model; random regression

类别

资金

  1. BBSRC [BB/K004484/1]
  2. BBSRC [BB/K004484/1] Funding Source: UKRI
  3. Biotechnology and Biological Sciences Research Council [BB/K004484/1] Funding Source: researchfish

向作者/读者索取更多资源

Nakagawa & Schielzeth extended the widely used goodness-of-fit statistic R-2 to apply to generalized linear mixed models (GLMMs). However, their R-GLMM(2) method is restricted to models with the simplest random effects structure, known as random intercepts models. It is not applicable to another common random effects structure, random slopes models. I show that R-GLMM(2) can be extended to random slopes models using a simple formula that is straightforward to implement in statistical software. This extension substantially widens the potential application of R-GLMM(2).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据