Cross Validated
2022-07-12 15:02 UTC
By Yakubu
AI-113-20220712-social-media-aa4da90e
Why are $R^2$ values not available in mixed effects meta regressions
I'm currently conducting a meta-regression for my predictors from a meta-analysis of proportion. In calculating the mixed effects meta-regressions, I wanted to identify how much heterogeneity is accounted for when a predictor is considered in the model. To do this, I used the meta package with a metareg function in R: m.prop.reg The output provides out $I^2$ and $H^2$ values as well as the significance of our moderators, however, it does not provide an $R^2$ value for the amount of heterogeneity accounted for. My question is how can I get $R^2$ for my predictors.
I'm currently conducting a meta-regression for my predictors from a meta-analysis of proportion. In calculating the mixed effects meta-regressions, I wanted to identify how much heterogeneity is accounted for when a predictor is considered in the model. To do this, I used the meta package with a metareg function in R: m.prop.reg The output provides out $I^2$ and $H^2$ values as well as the significance of our moderators, however, it does not provide an $R^2$ value for the amount of heterogeneity accounted for. My question is how can I get $R^2$ for my predictors.
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Cross Validated
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