agnesdeng / mixgbLinks
mixgb: multiple imputation through XGBoost
☆23Updated last month
Alternatives and similar repositories for mixgb
Users that are interested in mixgb are comparing it to the libraries listed below
Sorting:
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated 2 weeks ago
- Translating ML into Bayes, one line at a time☆79Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆66Updated last week
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Bayesian Inference of Complex Panel Data☆33Updated last week
- ☆25Updated last year
- Machine learning explanations☆23Updated 2 months ago
- 🤠 📿 The Highly Adaptive Lasso☆50Updated 7 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆88Updated 11 months ago
- R package for missing-data imputation with deep learning☆34Updated last year
- Fast multivariate imputation by random forests.☆70Updated 2 months ago
- Accelerated Oblique Random Survival Forests☆58Updated 3 months ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆13Updated last year
- Simulate Survival Data☆24Updated 4 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆59Updated 8 months ago
- an R package for deriving Prediction Rule Ensembles☆58Updated 2 weeks ago
- Targeted Learning for Survival Analysis☆22Updated last year
- An R wrapper of SHAP python library☆59Updated 2 years ago
- R Bindings to the Certifiably Optimal Rule Lists (Corels) Learner☆48Updated 6 months ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Hyperparameter optimization package of the mlr3 ecosystem☆55Updated 3 weeks ago
- counterfactuals: An R package for Counterfactual Explanation Methods☆22Updated 8 months ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated 4 months ago
- Joint Models for Longitudinal & Survival Data under Maximum Likelihood☆37Updated 11 months ago
- Rlgt is an R package for Bayesian Exponential Smoothing☆22Updated 2 months ago
- ☆41Updated last month
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 3 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆31Updated 4 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆58Updated 2 months ago