Alternatives and similar repositories for Bayesian-causal-inference

Users that are interested in Bayesian-causal-inference are comparing it to the libraries listed below

• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• andrewheiss / bayesf22.classes.andrewheiss.com
  📊 🌐 🧑‍🏫 Website for PhD-level independent readings course on Bayesian statistics with R and Stan, built with Quarto
  ☆40Updated 2 years ago
• jrnold / qss-tidy
  tidyverse code for QSS
  ☆37Updated 5 years ago
• eleanormurray / CausalSurvivalAnalysis
  ☆20Updated 6 years ago
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆29Updated last month
• andrewheiss / closing-backdoors-dags
  Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
  ☆13Updated 5 years ago
• m-clark / latent-variable-models-workshop-2019
  A workshop on latent variables models including factor analysis, PCA, SEM, etc.
  ☆15Updated 6 years ago
• ngreifer / lmw
  lmw: Linear Model Weights
  ☆11Updated last year
• kolesarm / Robust-Small-Sample-Standard-Errors
  Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)
  ☆31Updated 6 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 5 months ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 7 months ago
• ajnafa / Latent-Bayesian-MSM
  Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science
  ☆19Updated 2 years ago
• carloscinelli / dml.sensemakr
  Sensitivity analysis tools for causal ML
  ☆17Updated 3 weeks ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆29Updated 2 years ago
• justingrimmer / CausalInf
  This the repository for the Spring Causal Inference Course
  ☆44Updated 6 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• mattblackwell / DirectEffects
  An R package for estimating controlled direct effects.
  ☆18Updated 4 months ago
• andrewheiss / heiss-causal-inference
  Chapter on causal inference for *R for Political Data Science: A Practical Guide*
  ☆42Updated 4 years ago
• robjhyndman / forecasting_workshop
  ☆16Updated 2 years ago
• svmiller / post8000
  POST 8000 (Foundations of Social Science Research for Public Policy) is a class I teach at Clemson University
  ☆10Updated 4 years ago
• cdriveraus / ctsem
  Hierarchical continuous time state space modelling
  ☆43Updated last week
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 months ago
• cran-task-views / CausalInference
  CRAN Task View: Causal Inference
  ☆17Updated last year
• xuyiqing / hbal
  Hierarchically Regularized Entropy Balancing
  ☆11Updated 3 months ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆38Updated 3 years ago
• andrewheiss / evalf20.classes.andrewheiss.com
  ☆15Updated 3 years ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated last month