Introduction to Sparse Modeling in R
February 4, 2026 | 3:00-6:00 PM ET
Have you ever felt like your data is too big or complex to model easily? Here is a chance to expand your knowledge of how to analyze datasets with many covariates and to overcome traditional statistical challenges such as overfitting and poor predictive performance. We will teach you how to leverage sparse modeling approaches using accessible R packages to glean value from big data. The skill level required is intermediate: you need to know how to use R and RStudio, download and install packages on your own, open Rmd files, and be familiar with the concept of linear models to get the most out of this workshop. Participants will learn about sparse modeling techniques, create SuSiE (susieR) and lasso (glmnet) scripts in R, and visualize and interpret fitted models during our live coding session.
Discounted member price:
30.00
150.00
You could save:
80.0%