MIDASMultiple Imputation with Denoising Autoencoders
A deep learning method for accurate and efficient multiple imputation of missing data, available for both Python and R.
My open-source projects translate methodological research into tools for applied scientists.
Packages
cjbartHeterogeneous Effects in Conjoint Experiments
An R package for analysing conjoint experiments using Bayesian Additive Regression Trees (BART), focused on inspecting heterogeneous treatment effects.
SyGNetSynthetic Data via Generative Adversarial Networks
A Python package for generating synthetic data for the social sciences using deep learning methods.