agnesdeng / mixgbLinks
mixgb: multiple imputation through XGBoost
☆23Updated 3 weeks ago
Alternatives and similar repositories for mixgb
Users that are interested in mixgb are comparing it to the libraries listed below
Sorting:
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated this week
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 2 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- Causal machine learning pipeline using tlverse/sl3☆12Updated last year
- Translating ML into Bayes, one line at a time☆79Updated last year
- ☆25Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 6 months ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆66Updated this week
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 8 months ago
- R package for missing-data imputation with deep learning☆34Updated last year
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated 11 months ago
- CRAN Task View: Causal Inference☆17Updated last year
- Machine learning explanations☆23Updated 2 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆62Updated 6 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 7 months ago
- Targeted Learning for Survival Analysis☆21Updated last year
- Discrete Bayesian Additive Regression Trees Sampler☆58Updated 2 months ago
- Friedman's H-statistics☆30Updated 3 weeks ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆38Updated 4 years ago
- Fast multivariate imputation by random forests.☆70Updated 2 months ago
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated 6 months ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 4 months ago
- ☆16Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 3 months ago
- Sensitivity analysis tools for causal ML☆17Updated 2 weeks ago
- ☆40Updated 3 years ago
- counterfactuals: An R package for Counterfactual Explanation Methods☆21Updated 7 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated 10 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago