Alternatives and similar repositories for mixgb

Users that are interested in mixgb are comparing it to the libraries listed below

• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆63Updated 4 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 3 months ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆69Updated 3 years ago
• mayer79 / missRanger
  Fast multivariate imputation by random forests.
  ☆71Updated 7 months ago
• bgreenwell / fastshap
  Fast approximate Shapley values in R
  ☆125Updated 5 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆27Updated 11 months ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• mlverse / tabnet
  An R implementation of TabNet
  ☆113Updated 2 months ago
• ModelOriented / forester
  Trees are all you need
  ☆112Updated last year
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 3 years ago
• AnotherSamWilson / ParBayesianOptimization
  Parallelizable Bayesian Optimization in R
  ☆113Updated 3 years ago
• ModelOriented / hstats
  Friedman's H-statistics
  ☆31Updated 3 weeks ago
• mlr-org / mlr3tuning
  Hyperparameter optimization package of the mlr3 ecosystem
  ☆59Updated last week
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated 2 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆46Updated last year
• mayer79 / flashlight
  Machine learning explanations
  ☆23Updated 3 weeks ago
• vdorie / treatSens
  ☆16Updated last year
• marjoleinF / pre
  an R package for deriving Prediction Rule Ensembles
  ☆58Updated 5 months ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• dandls / counterfactuals
  counterfactuals: An R package for Counterfactual Explanation Methods
  ☆24Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆14Updated last month
• benkeser / survtmle
  Targeted Learning for Survival Analysis
  ☆23Updated last year
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆75Updated 3 weeks ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• ModelOriented / treeshap
  Compute SHAP values for your tree-based models using the TreeSHAP algorithm
  ☆91Updated last year
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆51Updated last month
• config-i1 / smooth
  The set of functions used for time series analysis and in forecasting.
  ☆94Updated last week
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year