Mixed effect models are useful tools in statistics because they can capture both fixed effects and random effects. Jared Knowles, a PhD student at University of Wisconsin Madison, created a tutorial with real world examples that explains how to run mixed models in R. Revolution Analytics compiles a list of industry news on R and […]