R Workshop: Machine Learning and Imputation using missForest and parallelize

This session will discuss using machine learning, missForest and packages that enhance its actions, parallelize, in data imputation, to handle missing data, and also generating variable importance plots, partial dependence plots, and other plots that aid researchers in extending their data observations and analysis.

At the end of the session: participants will leave with code to undertake machine learning algorithms.

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Spring 2026 R Workshop Schedule