R Code for graphical causal models including some undirected one. Models include LiNGAM, LOFS, Patel's tau, graphical lasso, and PC algorithm.
-
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.
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
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
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.
causaleffect: R package for identifying causal effects.
Political Data Science Project: Environmental Impact Evaluation of Bicycle Sharing (Grade: 20/20)
Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.
cfid: R package for identifying counterfactuals.
CAusal Reasoning for Network Identification with integer VALue programming in R
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).
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.
R Package for Simultaneous Multi-Bias Analysis
dosearch: R Package for Identifying General Causal Queries
Add a description, image, and links to the causal-models topic page so that developers can more easily learn about it.
To associate your repository with the causal-models topic, visit your repo's landing page and select "manage topics."