Alternatives and similar repositories for intro_bayesian_causal:

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

• ehkennedy / npcausal
  ☆93Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 8 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆65Updated 6 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆14Updated 8 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• alexluedtke12 / pydimple
  ☆13Updated 7 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 2 months ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 7 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆56Updated last month
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆17Updated last month
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 3 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 4 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆90Updated 2 months ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆106Updated last year
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated 10 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆37Updated 2 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 7 months ago
• forestry-labs / causalToolbox
  ☆40Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 3 months ago
• vincentarelbundock / rethinking2
  ☆76Updated last year
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆93Updated 3 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆39Updated 4 years ago
• theodds / SoftBART
  ☆31Updated last month
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 5 months ago