R package for Cardiovascular Risk Dataset and Data generation script

Access Synthetic CDISC Data from Archive Packages

An archive of synthetic CDISC data for 2022

Partially Synthetic Data Generation for Recommender systems

R Package to generate synthetic data.

Generates synthetic data to apply simulations for causal inference

An archive of synthetic CDISC data for 2021

Generate synthetic data that is as fresh as the real thing

Simple synthetic data from data frames, tibbles, data.tables and lists

Simulation framework for realistic large-scale individual-level health data generation

Generate synthetic longitudinal correlated data using distributions and correlations from real-world observational data

Synthesize dataverse data based on DDI metadata

Synthetic data generation for DataSHIELD

Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods

dsSynthetic library to generate synthetic data in DataSHIELD

A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.

Simulation of Partition-of-Unity copulas in R, e.g. for the purpose of modeling risk or for the creation of synthetic data based on restricted datasets

HR analysis including work around ONS Wellbeing questions.

An app to compare local data with public demographic data.

Make Gapminder-style synthetic datasets