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
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆68Updated 8 months ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆16Updated 10 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆43Updated 10 months ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆58Updated 3 weeks ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 4 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 6 months ago
• pzivich / Delicatessen
  Delicatessen: the Python one-stop sandwich (variance) shop 🥪
  ☆27Updated last week
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 9 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 4 years ago
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 2 weeks ago
• alexluedtke12 / pydimple
  ☆16Updated 9 months ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆17Updated last month
• nhejazi / medoutcon
  R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
  ☆13Updated last year
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆43Updated 6 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆37Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆93Updated 4 months ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆35Updated last year
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆45Updated last year
• wxwx1993 / GPSmatching
  R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…
  ☆30Updated last month
• helenecharlotte / TMLE-course
  ☆17Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆78Updated last year