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--- tips:model_selection_with_glmulti_and_mumin [2022/08/03 12:51] – Wolfgang Viechtbauer
+++ tips:model_selection_with_glmulti_and_mumin [2022/08/09 05:15] – Wolfgang Viechtbauer
@@ Line 1: / Line 1: @@
 ===== Model Selection using the glmulti and MuMIn Packages =====
-Information-theoretic approaches provide methods for model selection and (multi)model inference that differ quite a bit from more traditional methods based on null hypothesis testing (e.g., Anderson, 2007; Burnham & Anderson, 2002). These methods can also be used in the meta-analytic context when model fitting is based on likelihood methods. Below, I illustrate how to use the metafor package in combination with the [[https://cran.r-project.org/package=glmulti|glmulti]] and [[https://cran.r-project.org/package=MuMIn|MuMIn]] packages that provides the necessary functionality for model selection and multimodel inference using an information-theoretic approach.
+Information-theoretic approaches provide methods for model selection and (multi)model inference that differ quite a bit from more traditional methods based on null hypothesis testing (e.g., Anderson, 2007; Burnham & Anderson, 2002). These methods can also be used in the meta-analytic context when model fitting is based on likelihood methods. Below, I illustrate how to use the metafor package in combination with the [[https://cran.r-project.org/package=glmulti|glmulti]] and [[https://cran.r-project.org/package=MuMIn|MuMIn]] packages that provide the necessary functionality for model selection and multimodel inference using an information-theoretic approach.
 ==== Data Preparation ====