A module for missing data analysis in JASP

Multivariate Imputation by Chained Equations

Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control

The Regression Module

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

Python reference implementation for synthetic data generation based on the Generative Metadata Format.