Alternatives and similar repositories for bartCause:

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

• ehkennedy / npcausal
  ☆94Updated last year
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆68Updated 8 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 5 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆58Updated last week
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated this week
• soerenkuenzel / hte
  ☆31Updated 2 years ago
• tlverse / tmle3
  🎯🎓 Generalized Targeted Learning Framework
  ☆39Updated 5 months ago
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆108Updated 4 years ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆112Updated this week
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 4 months ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• saberpowers / causalLearning
  Methods for heterogeneous treatment effect estimation
  ☆23Updated 3 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆63Updated last month
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated this week
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆78Updated last year
• romainkp / stremr
  Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
  ☆41Updated last year
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 9 months ago
• ck37 / varimpact
  Variable importance through targeted causal inference, with Alan Hubbard
  ☆57Updated 2 years ago
• fbargaglistoffi / BCF-IV
  Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…
  ☆16Updated last year
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆63Updated last year
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆16Updated 10 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 8 months ago
• migariane / SIM-TMLE-tutorial
  Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
  ☆16Updated 4 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆38Updated 4 years ago
• tlverse / hal9001
  🤠 📿 The Highly Adaptive Lasso
  ☆50Updated 4 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago