bvegetabile / gpbalancerLinks
gpbalancer: an R Package for Optimally Balanced Gaussian Process Propensity Score Estimation
☆7Updated 6 years ago
Alternatives and similar repositories for gpbalancer
Users that are interested in gpbalancer are comparing it to the libraries listed below
Sorting:
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 9 months ago
- Regression Modeling Strategies Bayesian☆16Updated 2 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 8 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated last week
- R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).☆30Updated 7 years ago
- A Unified Framework for Random Forest Prediction Error Estimation☆26Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆25Updated 3 years ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆25Updated 2 years ago
- R package cfcausal☆29Updated 2 years ago
- ☆34Updated 3 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆86Updated 9 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects☆10Updated 3 years ago
- Preceptor's Primer for Bayesian Data Science☆22Updated 2 weeks ago
- heterogeneous treatment effect estimation with causal forests☆12Updated 2 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year
- Teaching materials for ETC3580☆25Updated 6 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆67Updated last week
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- Methods for heterogeneous treatment effect estimation☆24Updated 3 years ago
- Discrete Bayesian Additive Regression Trees Sampler☆58Updated 2 months ago
- Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.☆12Updated 3 years ago
- Targeted Learning for Survival Analysis☆22Updated last year
- ☆17Updated 3 years ago
- Bayesian Causal Forests☆45Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 7 months ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago
- Documentation for the Stan language and CmdStan☆39Updated last week
- ☆95Updated last year
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 9 months ago