Alternatives and similar repositories for bartMachine:

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

• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆57Updated 2 weeks ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 6 months ago
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 6 years ago
• selective-inference / R-software
  R software for selective inference
  ☆34Updated 5 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 9 months ago
• boost-R / mboost
  Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current rel…
  ☆73Updated 4 months ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆23Updated 3 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• swager / randomForestCI
  This package is DEPRECATED. Please use the packages `grf` or `ranger` instead, which have built-in confidence intervals.
  ☆70Updated 7 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• theodds / SoftBART
  ☆32Updated 3 months ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 6 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 8 months ago
• lorismichel / quantregForest
  R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
  ☆27Updated 7 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆67Updated 8 months ago
• ehkennedy / npcausal
  ☆93Updated last year
• marjoleinF / pre
  an R package for deriving Prediction Rule Ensembles
  ☆58Updated 9 months ago
• functionaldata / tPACE
  Testing version of fdapace
  ☆31Updated 8 months ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last week
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 4 months ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated last week
• jaredhuling / rfunctions
  a set of R functions that I find useful
  ☆20Updated 7 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• joshuaschwab / ltmle
  Longitudinal Targeted Maximum Likelihood Estimation package
  ☆23Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• holub008 / xrf
  eXtreme RuleFit (sparse linear models on XGBoost ensembles)
  ☆43Updated 2 years ago