junyzhou10 / MetaLearners
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.
β11Updated 2 years ago
Alternatives and similar repositories for MetaLearners:
Users that are interested in MetaLearners are comparing it to the libraries listed below
- π― π― Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Interventionβ13Updated 2 years ago
- The holdout randomization test: feature selection using black box predictive modelsβ22Updated 4 years ago
- π― Targeted Learning of the Causal Effects of Stochastic Interventionsβ17Updated 6 months ago
- An Interface to Specify Causal Graphs and Compute Balke Boundsβ17Updated last month
- Predicting treatment effects from RCTs (Circulation: CQO 2019).β10Updated 2 years ago
- β22Updated 3 years ago
- Software for learning sparse Bayesian networksβ43Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter BΓΌhlmaβ¦β18Updated 3 years ago
- Lag Penalized Weighted Correlation for Time Series Clusteringβ20Updated 4 years ago
- Conformal prediction in Rβ31Updated 5 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis testsβ19Updated 2 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME frameworkβ12Updated 2 years ago
- Parametric and non-parametric conditional independence testing.β10Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confoundingβ21Updated 2 years ago
- This network estimation procedure combines l1-regularized logistic regression with model selection based on the Extended Bayesian Informaβ¦β10Updated last year
- Methods for subgroup identification / personalized medicine / individualized treatment rulesβ32Updated 2 years ago
- Tools for estimating causal effects for multivariate continuous exposuresβ13Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targetedβ¦β24Updated 3 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.β25Updated 2 years ago
- Minimax Estimation of Conditional Moment Modelsβ30Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimationβ31Updated 4 years ago
- β10Updated 2 years ago
- Network inference by fusing data from diverse distributionsβ14Updated 8 years ago
- Propensity score Matching and Subclassification with 3 or more Treatmentsβ20Updated 5 years ago
- Perform inference on algorithm-agnostic variable importanceβ24Updated 2 months ago
- Multi-group Gaussian process (MGGP)β19Updated 8 months ago
- Numerical experiments for nested cross-validation paperβ11Updated 2 years ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017β16Updated 4 years ago
- Tools for Flexible Survival Analysis Using Machine Learningβ18Updated this week
- 𧲠Multi-step adaptive estimation for reducing false positive selection in sparse regressionsβ13Updated 8 months ago