Eliot: the logging system that tells you *why* it happened

A toolbox for integrated information theory.

A resource list for causality in statistics, data science and physics

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Pairwise association measures of statistical variable types

Causal Inference Using Quasi-Experimental Methods

A dataset of news headlines for detecting causalities

The rooster crows immediately before sunrise, the rooster causes the sun to rise

Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

Repository for the paper: "Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow".

This repository explores Market Mix Modeling to analyze the causal impact of marketing strategies on sales performance using statistical analysis and OLS regression. It helps businesses optimize campaign investments by distinguishing causation from correlation.

Associated repository for the "Chaos Theory: Unlocking the Secrets of the Butterfly Effect!" 15 minute discourse podcast on YouTube!

Implementation of Tyler Vanderweele's methods for mediation

An R package for causal inference in time series

Causal Inference in Epidemiology

Causal inference under multiple treatments using BART

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

R Wrapper for Tetrad Library

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction