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

• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆90Updated last month
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆146Updated last month
• vincentarelbundock / rethinking2
  ☆79Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆79Updated last year
• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆102Updated 3 years ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆151Updated last month
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆215Updated this week
• spinkney / helpful_stan_functions
  ☆76Updated last year
• CausalInference / gfoRmula
  The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-v…
  ☆171Updated last month
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆56Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆61Updated 4 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆57Updated last year
• nicholasjclark / mvgam
  {mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
  ☆155Updated this week
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆94Updated 6 months ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆97Updated 2 years ago
• sinhrks / stan-statespace
  Stan models for state space time series
  ☆145Updated 7 years ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆128Updated 2 years ago
• ecmerkle / blavaan
  An R package for Bayesian structural equation modeling
  ☆94Updated last week
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆118Updated 2 years ago
• chjackson / msm
  The msm R package for continuous-time multi-state modelling of panel data
  ☆62Updated 6 months ago
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆59Updated 6 months ago
• rmcelreath / causal_salad_2021
  One day course on causal inference, MPI-EVA 9 September 2021
  ☆245Updated 3 years ago
• ycroissant / plm
  Panel Data Econometrics with R
  ☆61Updated last month
• hyunjimoon / SBC
  ☆57Updated 2 months ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆109Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated last year
• stan-dev / posterior
  The posterior R package
  ☆168Updated last week
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last week
• stan-dev / cmdstanr
  CmdStanR: the R interface to CmdStan
  ☆147Updated last week
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆68Updated 4 years ago