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

• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆105Updated 4 years ago
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated 2 years ago
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated 2 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆118Updated 2 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…
  ☆181Updated 4 months ago
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆230Updated last week
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 5 years ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆249Updated 3 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆153Updated 6 months ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆152Updated 6 months ago
• julianfaraway / rexamples
  worked R examples
  ☆117Updated last year
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆98Updated 2 years ago
• rmcelreath / stat_rethinking_2025
  ☆160Updated 7 months ago
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated 4 months ago
• spinkney / helpful_stan_functions
  ☆78Updated 3 weeks ago
• nicholasjclark / mvgam
  {mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
  ☆167Updated last week
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆95Updated 11 months ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆131Updated 2 years ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆60Updated last year
• dave-harrington / survival_workshop
  Survival analysis workshop using R
  ☆53Updated 6 years ago
• monika76five / Undergrad-Bayesian-Course
  ☆69Updated 4 years ago
• EmilHvitfeldt / ISLR-tidymodels-labs
  ☆177Updated 6 months ago
• florianhartig / BayesianTools
  General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics
  ☆125Updated last year
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆201Updated last month
• bayes-rules / bayesrules
  📦 R package for Supplemental Materials for the Bayes Rules! Book
  ☆72Updated 3 years ago
• hyunjimoon / SBC
  ☆62Updated last month
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆58Updated last week