Alternatives and similar repositories for BayesianTutorials:

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

• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆108Updated 3 years ago
• Bo-Ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 4 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆79Updated 6 months ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆34Updated 3 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆78Updated last year
• osofr / simcausal
  Simulating Longitudinal and Network Data with Causal Inference Applications
  ☆67Updated 8 months ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆52Updated 7 years ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆96Updated last year
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆57Updated 3 weeks ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆111Updated last year
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆112Updated 2 weeks ago
• forestry-labs / causalToolbox
  ☆41Updated 2 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆116Updated last year
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated 11 months ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆140Updated 2 weeks ago
• jantonelli111 / DoublyRobustHD
  R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods
  ☆26Updated 4 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 5 months ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last week
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 7 months ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆144Updated 7 years ago
• MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python
  Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.
  ☆133Updated last month
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆65Updated 4 years ago
• functionaldata / tPACE
  Testing version of fdapace
  ☆31Updated 8 months ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆42Updated 10 months ago
• jantonelli111 / HDconfounding
  R package to implement high-dimensional confounding adjustment using continuous spike and slab priors
  ☆10Updated 5 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 7 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year