cran / pcalg
This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https://pcalg.r-forge.r-project.org/
☆35Updated 7 months ago
Alternatives and similar repositories for pcalg:
Users that are interested in pcalg are comparing it to the libraries listed below
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- R Wrapper for Tetrad Library☆35Updated 8 months ago
- a Matlab library of computational causal discovery and variable selection algorithms☆18Updated 5 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆78Updated 2 weeks ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆60Updated 4 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Example causal datasets with consistent formatting and ground truth☆82Updated 3 weeks ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 8 months ago
- ☆17Updated last month
- Tools for causal discovery in R☆19Updated 2 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 6 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated last year
- G Square Conditional Independence Test☆11Updated 8 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- ☆205Updated 2 years ago