Alternatives and similar repositories for dbarts

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

• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated 11 months ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆81Updated 3 weeks ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated 3 months ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 9 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆70Updated last year
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• tlverse / sl3
  💪 🤔 Modern Super Learning with Machine Learning Pipelines
  ☆104Updated last month
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆39Updated 3 years ago
• adibender / pammtools
  Piece-wise exponential Additive Mixed Modeling tools
  ☆49Updated last month
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆40Updated 2 months ago
• mfasiolo / qgam
  Additive quantile regression R package
  ☆34Updated 4 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated 10 months ago
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 6 months ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• florianhartig / LearningBayes
  An introduction to Bayesian statistics
  ☆75Updated last year
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆46Updated 2 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• drizopoulos / GLMMadaptive
  GLMMs with adaptive Gaussian quadrature
  ☆62Updated 5 months ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• mjskay / tidybayes.rethinking
  R package to allow tidybayes to work with the rethinking package
  ☆26Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last month
• refunders / refund
  Regression with functional data
  ☆48Updated 8 months ago
• lme4 / lme4pureR
  A pure R implementation of the numerical steps in lmer and glmer
  ☆36Updated last year
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated 2 years ago