If you have categorical predictors and a binary predicted variable which R package and its logistic function should you choose? Are there any advantages with a specific functions, e.g. plotting? I appreciate your insights!
If you are looking to fit mixed effects models, lmer has the capability of handling random effects. However, if you are looking to fit only the main effects, either lmer or glm will be fine. In terms of plotting,
If you are looking to fit mixed effects models, lmer has the capability of handling random effects. However, if you are looking to fit only the main effects, either lmer or glm will be fine. In terms of plotting,