adriennekline / psmpyLinks
propensity score matching in python
☆58Updated 3 weeks ago
Alternatives and similar repositories for psmpy
Users that are interested in psmpy are comparing it to the libraries listed below
Sorting:
- Propensity score matching in Python 3☆27Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆58Updated last year
- Create sparse and accurate risk scoring systems!☆37Updated 10 months ago
- Epidemiology analysis package☆144Updated 2 years ago
- ☆103Updated 4 years ago
- Missing data amputation and exploration functions for Python☆71Updated 2 years ago
- For calculating global feature importance using Shapley values.☆271Updated 2 weeks ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.☆60Updated 7 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated last month
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆89Updated last year
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…☆343Updated last year
- A Python package for propensity score matching☆53Updated 3 years ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆80Updated last week
- Arguably the best missing values imputation method.☆68Updated 5 months ago
- Python package for missing-data imputation with deep learning☆151Updated 9 months ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated 2 months ago
- Simulations for predictive model selection in causal inference☆13Updated 5 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.☆71Updated last year
- Measuring Classification Performance: the hmeasure package for Python.☆17Updated 7 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Explaining the output of machine learning models with more accurately estimated Shapley values☆160Updated last week
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 3 years ago
- All the convenience of lme4 in python☆203Updated 3 weeks ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago