A Python package for causal inference in quasi-experimental settings

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

Replication materials for "The Relational Bases of Informal Financial Cooperation" (Simpson, In Prep.)

A Python package for building Bayesian models with TensorFlow or PyTorch

An R package for Simulation Investigation for Empirical Network Analysis

R-package for spatial risk calculations

Replication materials for "Dynamics of Cooperative Networks Associated With Gender Among South Indian Tamils" (Simpson & Power, 2023, Philos. Trans. R. Soc. Lond., B, Biol. Sci.)

Replication materials for "Social Support and Network Formation in a Small-Scale Horticulturalist Population" (Simpson , 2022, Scientific Data).