Questions tagged [mumin]

MuMIn is a R package for Multi-Model Inference. It contains tools for model selection and model averaging.

MuMIn is a R package which contains tools for performing model selection and model averaging. It can perform automated model selection through subsets of the maximum model, with optional constraints for model inclusion.

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Do "conditional" averaged coefficients *ever* make sense?

This question is related to one on Stack Overflow where the user wanted to obtain predictions and their standard errors using the "conditional" averaged coefficients from the R package MuMIn. I answered by demonstrating that if one uses vcov(model,…
Russ Lenth
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Is post-variable-selection multimodel inference a bad idea?

If I understood correctly, in this answer, Ben Bolker says that using inferential methods after having performed AIC-based model selection is wrong because "standard inferential methods assume the model is specified a priori". In this slide-show,…
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Interpreting results of linear mixed effects regression model: Conditional R-Squared is NA and inconsistent output?

I have the following mixed-effect regression model in R: linearModSubset <- lmer(od.deaths.pc ~ (year.x|County.x) + pov_perc + unemply_perc + hispanic_perc…
DiamondJoe12
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