bd2kccd / causal-cmdLinks
☆18Updated last month
Alternatives and similar repositories for causal-cmd
Users that are interested in causal-cmd are comparing it to the libraries listed below
Sorting:
- R Wrapper for Tetrad Library☆35Updated last year
- ☆32Updated 3 months ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated last year
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆74Updated this week
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 4 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Python package to compute conditional and non-conditional causal effects.☆36Updated 3 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆81Updated 4 years ago
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆431Updated last week
- Example causal datasets with consistent formatting and ground truth☆100Updated 7 months ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆63Updated 7 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆160Updated 4 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆64Updated 5 years ago
- Python package for (conditional) independence testing and statistical functions related to causality.☆29Updated last month
- Makes algorithms/code in Tetrad available in Python via JPype☆90Updated this week
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆56Updated 7 years ago
- ☆205Updated 2 years ago
- Datasets for Causal-Structure-Learning Repo☆15Updated 5 years ago
- Tensorflow 2 implementation of Causal-BERT☆73Updated 2 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Resources related to causality☆266Updated last year
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. bnlearn — Bayesian Network Structure Learning, Parameter Learning and Infe…☆61Updated 3 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆79Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago