agnesdeng / mixgbLinks
mixgb: multiple imputation through XGBoost
☆23Updated 4 months ago
Alternatives and similar repositories for mixgb
Users that are interested in mixgb are comparing it to the libraries listed below
Sorting:
- Causal Inference using Bayesian Additive Regression Trees☆82Updated last month
- Fast approximate Shapley values in R☆125Updated 4 months ago
- Translating ML into Bayes, one line at a time☆81Updated 2 years ago
- miceRanger: Fast Imputation with Random Forests in R☆69Updated 3 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆43Updated 2 years ago
- Parallelizable Bayesian Optimization in R☆113Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated last month
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆89Updated last year
- Fast multivariate imputation by random forests.☆71Updated 5 months ago
- The msm R package for continuous-time multi-state modelling of panel data☆62Updated 2 months ago
- Trees are all you need☆112Updated last year
- Heterogeneous effects analysis of conjoint experiments using BART☆10Updated 2 years ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated 10 months ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆79Updated last month
- An R implementation of TabNet☆114Updated 3 weeks ago
- 💪 🤔 Modern Super Learning with Machine Learning Pipelines☆104Updated 2 months ago
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated last month
- Causal machine learning pipeline using tlverse/sl3☆13Updated last year
- Adaptive and automatic gradient boosting computations.☆69Updated 3 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 10 months ago
- ☆16Updated last year
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago
- Machine learning explanations☆23Updated 5 months ago
- An R wrapper of SHAP python library☆58Updated 2 years ago
- R package for computing and visualizing fair ML metrics☆32Updated 2 years ago
- Targeted Learning for Survival Analysis☆23Updated last year
- GLMMs with adaptive Gaussian quadrature☆62Updated 6 months ago
- Friedman's H-statistics☆31Updated 4 months ago
- R implementation for random forests with distribution-based loss functions☆25Updated 5 years ago