kellieotto / pscore_matchLinks
A Python package for propensity score matching
☆54Updated 3 years ago
Alternatives and similar repositories for pscore_match
Users that are interested in pscore_match are comparing it to the libraries listed below
Sorting:
- ☆289Updated 2 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- ☆104Updated 4 years ago
- Causal Inference in Python☆573Updated 2 months ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆241Updated 5 years ago
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆350Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆65Updated last year
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆70Updated 4 months ago
- Propensity score matching in Python 3☆26Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆157Updated 4 years ago
- Working repository for Causal Tree and extensions☆446Updated 5 months ago
- Uplift modeling package.☆374Updated 2 years ago
- Repository with code and slides for a tutorial on causal inference.☆579Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Multi Channel Attribution☆10Updated 8 years ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆267Updated last year
- EconML/CausalML KDD 2021 Tutorial☆162Updated 2 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 6 years ago
- A Python implementation of "Shapley Value Methods for Attribution Modeling in Online Advertising" by Zhao, et al.☆41Updated 5 years ago
- Ordinal regression algorithms☆269Updated 2 years ago
- Mixed Effects Random Forest☆232Updated last year
- Tutorials on Causal Inference and pgmpy☆384Updated last month
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆53Updated 8 years ago
- scikit-learn compatible implementation of stability selection.☆213Updated 2 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 8 years ago