[ICML 2025] R implementation of MIIC_search&score: a search-and-score algorithm for learning ancestral graphs with latent confounders, using multivariate information over ac-connected subset.

🛸 The Directed Prediction Index (DPI): Quantifying Relative Endogeneity for Causal Inference from Observational Data.

Reproducible R code for the master's thesis "Toward causality in mobile sensing for depression," using sparse functional data analysis (FDA) and conditional independence testing on the StudentLife datasets.

dosearch: R Package for Identifying General Causal Queries

Tools for sensitivity analysis for weighted estimators

A repo providing a brief introduction to causal modelling

The GFSM algorithm

Repo for the case study: Collider Bias - The Hairdresser Example

Ce Travail vise à reproduire les méthodes statistiques utilisées dans un article de recherche qui a exploré l’impact de COVID-19 sur la volatilité de l’indice boursier marocain (MASI).

Bayesian Causal Inference in Doubly Gaussian DAG-probit Models

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.

Replicating papers from the epidemiology and causal inference literature.

Shiny app illustrating the cholesterol example for the Simpson's paradox in Glymour et al. (2016, Section 1.2)

Shiny app illustrating the movie star example based on S. Cunningham "Causal Inference: The Mixtape" (Section 3.1.6)

Cyclic Causal Inference

Finding the causality in biological pathways

List of papers with DAGs.

Tool to extract causal relationships from biological and medical databases that are in tabular format