rlirey / psmatching
Propensity score matching in Python 3
☆26Updated last year
Related projects ⓘ
Alternatives and complementary repositories for psmatching
- ☆101Updated 3 years ago
- A Python package for propensity score matching☆52Updated 3 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆57Updated last year
- EconML/CausalML KDD 2021 Tutorial☆162Updated last year
- ☆276Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 3 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated 8 months ago
- Code for Colangelo and Lee (2022)☆11Updated 5 months ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆80Updated 6 years ago
- Breast cancer prediction using causal Inference☆10Updated 3 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆65Updated 4 years ago
- ☆42Updated 3 years ago
- ☆16Updated 5 years ago
- ☆15Updated 4 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)☆19Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆46Updated 9 months ago
- Fixedeffectmodel: panel data modeling in Python☆77Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆57Updated 5 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆128Updated 5 months ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- propensity score matching in python☆50Updated last year
- Fit Sparse Synthetic Control Models in Python☆79Updated 7 months ago
- 💊 Comparing causality methods in a fair and just way.☆138Updated 4 years ago
- Code for blog posts.☆17Updated last year
- Some notes on Causal Inference, with examples in python☆149Updated 4 years ago
- A Python package for causal inference using Synthetic Controls☆170Updated 9 months ago
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 4 years ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆34Updated 2 months ago