Statistical Software

MIDAS: Multiple Imputation using Denoising Autoencoders

A deep learning method for accurate and efficient multiple imputation. MIDAS is available for both Python and R users.

GitHub Python: PyPI R: CRAN Paper

cjbart: Heterogeneous Effects Analysis of Conjoint Experiments

cjbart is an R package for analyzing conjoint experiments using Bayesian Additive Regression Trees (BART), specifically focusing on inspecting heterogeneous treatment effects.

GitHub R: CRAN Paper

SyGNet: Synthetic data using Generative Adversarial Networks

SyGNet is a Python package for generating synthetic data for the social sciences using deep learning methods.

GitHub Python: PyPI