ericstrobl / RCIT
The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
☆25Updated 5 years ago
Alternatives and similar repositories for RCIT:
Users that are interested in RCIT are comparing it to the libraries listed below
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- A decision-tree based conditional independence test.☆34Updated 2 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Updated 7 years ago
- A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…☆116Updated last year
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆74Updated 3 years ago
- python code for kernel methods☆38Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- ☆205Updated 2 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated 7 months ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆74Updated 4 years ago
- CPDAG Estimation using PC-Algorithm☆96Updated 3 years ago
- Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)☆50Updated 6 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆45Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆33Updated 3 years ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆57Updated last month
- Non-parametrics for Causal Inference☆44Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 8 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- a Matlab library of computational causal discovery and variable selection algorithms☆18Updated 5 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆87Updated 2 years ago
- Makes algorithms/code in Tetrad available in Python via JPype☆76Updated this week
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆99Updated 5 years ago
- Approximate knockoffs and model-free variable selection.☆54Updated 3 years ago
- Code for "Counterfactual Fairness" (NIPS2017)☆52Updated 6 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- ☆87Updated 5 years ago
- Causal Effect Inference with Deep Latent-Variable Models☆336Updated 4 years ago
- BITES: Balanced Individual Treatment Effect for Survival data☆18Updated last year
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago