hdImpute (in R and Python): Batched High Dimensional Imputation via Chained Random Forests

plotmm: Tidy Tools for Visualizing Mixture Models (with Fong Chan and Lu Zhang)

amerika: American politics-inspired color palette generator

Comparing Unsupervised Machine Learning Clustering Techniques (with Marc Lavielle; Two Shiny Apps)

rIP: Validating IP addresses to detect fraud in online surveys (with Ryan Kennedy and Scott Clifford)

hhi: Calculating & visualizing Herfindahl-Hirschman Index scores

purging: Purging mediation effects from independent variables

mlbstats: Major league baseball player metrics calculator

plotGMM: Tools for visualizing Gaussian mixture models in R (with Fong Chun Chan; Retired in favor ofplotmm)

easystats: An ecosystem of packages making statistics in R easy (author & contributor)

Miscellaneous Code

Translating Python Operations to (Mostly) Tidy R: Code

Building Neural Networks in R with External Machine Learning Engines: Code and data from my talk at Government Advances in Statistical Programming (GASP)

Introduction to Computation in R: Code from my Intro to R course at William & Mary

Learning LaTeX: Code covering the basics of LaTeX from my workshop at Houston