Alternatives and similar repositories for Bayesian_Statistical_Modeling_with_Stan_R_and_Python

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

• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆181Updated last month
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated 2 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆154Updated 7 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆91Updated last month
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• rmcelreath / stat_rethinking_2025
  ☆166Updated 8 months ago
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆104Updated 4 years ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆152Updated 7 months ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆234Updated 2 weeks ago
• monika76five / Undergrad-Bayesian-Course
  ☆72Updated 5 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆81Updated 2 years ago
• bayes-rules / bayesrules
  📦 R package for Supplemental Materials for the Bayes Rules! Book
  ☆73Updated 3 years ago
• julianfaraway / rexamples
  worked R examples
  ☆118Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆68Updated 5 years ago
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆134Updated 2 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆250Updated 3 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆119Updated 2 years ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆96Updated last year
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆205Updated 2 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• stan-dev / posterior
  The posterior R package
  ☆168Updated last week
• EmilHvitfeldt / ISLR-tidymodels-labs
  ☆177Updated 7 months ago
• spinkney / helpful_stan_functions
  ☆79Updated 2 months ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆118Updated 3 weeks ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆98Updated 2 years ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆59Updated last week
• atsa-es / MARSS
  Multivariate Autoregressive State-Space Modeling with R
  ☆53Updated 3 months ago