R Code for graphical causal models including some undirected one. Models include LiNGAM, LOFS, Patel's tau, graphical lasso, and PC algorithm.
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Updated
Jul 29, 2015 - R
R Code for graphical causal models including some undirected one. Models include LiNGAM, LOFS, Patel's tau, graphical lasso, and PC algorithm.
The Semantic Web Expert System Shell - An intelligent system platform capable of reasoning from multiple ontologies using Resource Description Framework (RDF), Rule Markup Language (RuleML), as well as other knowledge expressed as functional, structural, or causal models.
Causal Inference & Deep Learning, MIT IAP 2018
This repository contains the CEO ontology, the evaluation corpus and the CEO vocabulary.
Code and figures for Sizes of Interventional Markov Equivalence Classes
Causality reading group
Code and figures for the Differential Causal Inference (DCI) algorithm
Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.
How to make common social science diagrams using DiagrammeR and Graphviz
bayesian networks made easy
Working with the causaleffects and igraph
A Brief Overview of Causal Inference (xaringan presentation)
Friendly introduction to causal inference
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
Awesome papers on Causal Inference
Causal Inference Using Quasi-Experimental Methods
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Causal analysis and inference using observational and interventional dataset. It contains tools for graph structure recovery.
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