CAusal Reasoning for Network Identification with integer VALue programming in R

causaleffect: R package for identifying causal effects.

Cyclic Causal Inference

causalMGM is an R package that allow users to learn undirected and directed (causal) graphs over mixed data types (i.e., continuous and discrete variables).

How to make common social science diagrams using DiagrammeR and Graphviz

dosearch: R Package for Identifying General Causal Queries

cfid: R package for identifying counterfactuals.

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.

An R package for learning context-specific causal models, called CStrees, based on observational, or a mix of observational and interventional, data.

Time-concordant event cascades in the pathogenesis of adverse hepatic effects derived using transcriptomics and histopathology data from longitudinal studies in rats.

Political Data Science Project: Environmental Impact Evaluation of Bicycle Sharing (Grade: 20/20)

This is a project by Asmir Muminovic and Lukas Kolbe, which was created for the Applied Predictive Analytics class held by the Chair of Information Systems at the Humboldt University of Berlin

R Package for Simultaneous Multi-Bias Analysis

R Code for graphical causal models including some undirected one. Models include LiNGAM, LOFS, Patel's tau, graphical lasso, and PC algorithm.

Complex Systems Modelling

Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.

Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.