Alternatives and similar repositories for BayesianTutorials

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

• ehkennedy / npcausal
  ☆95Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆63Updated 4 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆80Updated 9 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆112Updated 4 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 4 years ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆58Updated 2 months ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆117Updated 2 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆147Updated 2 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated 3 weeks ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆53Updated 7 years ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆114Updated 2 months ago
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆69Updated 11 months ago
• vincentarelbundock / rethinking2
  ☆80Updated last year
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• migariane / TutorialCausalInferenceEstimators
  Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
  ☆39Updated 4 years ago
• forestry-labs / causalToolbox
  ☆44Updated 2 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆79Updated 2 years ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 8 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last week
• koalaverse / vip
  Variable Importance Plots (VIPs)
  ☆187Updated last year
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆175Updated 3 weeks ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆98Updated 2 years ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 7 months ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 7 years ago
• MaggieLieu / STAN_tutorials
  ☆30Updated 4 years ago
• jantonelli111 / HDconfounding
  R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
  ☆10Updated 5 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated 9 months ago
• giabaio / survHE
  Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…
  ☆45Updated last week
• lihualei71 / cfcausal
  R package cfcausal
  ☆29Updated 2 years ago