junyzhou10 / MetaLearnersLinks
The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.
☆11Updated 2 years ago
Alternatives and similar repositories for MetaLearners
Users that are interested in MetaLearners are comparing it to the libraries listed below
Sorting:
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 9 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 6 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Updated 3 years ago
- Propensity score Matching and Subclassification with 3 or more Treatments☆21Updated 6 years ago
- Methods for subgroup identification / personalized medicine / individualized treatment rules☆33Updated 3 years ago
- Making survival analysis work in TensorFlow☆19Updated 8 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- ☆25Updated 4 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- Perform inference on algorithm-agnostic variable importance☆24Updated 2 months ago
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 4 months ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆33Updated 4 months ago
- Approximate knockoffs and model-free variable selection.☆56Updated 4 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- R Package With Shiny App to Perform and Visualize Clustering of Count Data via Mixtures of Multivariate Poisson-log Normal Model☆17Updated 3 months ago
- This network estimation procedure combines l1-regularized logistic regression with model selection based on the Extended Bayesian Informa…☆10Updated 2 years ago
- Conformal prediction in R☆32Updated 6 years ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆20Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last month
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated last year
- (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)☆47Updated 7 months ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 4 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Updated 5 years ago
- ☆11Updated 7 years ago