Topics covered include multiple regression, multilevel models, and multiple imputation. We expect that users enrolled in this course are already familiar with the statistical processes that we cover and are interested in learning how to run these procedures in R.
Prerequisite: Basic familiarity with R, such as that acquired through an introductory R workshop. More details, including workshop materials, are available here.
Hosted by Data Science Services at Harvard’s Institute for Quantitative Social Science. This workshop is free for Harvard and MIT affiliates.