MatsuuraKentaro / Bayesian_Statistical_Modeling_with_Stan_R_and_Python

Related projects ⓘ

Alternatives and complementary repositories for Bayesian_Statistical_Modeling_with_Stan_R_and_Python

• behrman / ros
  Regression and Other Stories - Tidyverse Examples
  ☆99Updated 3 years ago
• bayesianops / stan-survival-model-workshop
  Building a Survival Model in Stan.
  ☆56Updated 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…
  ☆157Updated last month
• r-causal / causal-inference-in-R
  Causal Inference in R: A book!
  ☆197Updated 2 weeks ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆135Updated 5 months ago
• vincentarelbundock / rethinking2
  ☆75Updated last year
• remlapmot / cibookex-r
  Causal Inference: What If. R and Stata code for Exercises
  ☆86Updated 3 months ago
• ASKurz / Working-through-Regression-and-other-stories
  Working through "Regression and other stories," one chapter at a time
  ☆53Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆58Updated 4 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆114Updated last year
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆75Updated last year
• nicholasjclark / mvgam
  {mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
  ☆106Updated this week
• stan-dev / connect22-space-time
  StanCon Connect 2022 space and time
  ☆24Updated last year
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆90Updated 2 months ago
• ASKurz / Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
  The bookdown version lives here: https://bookdown.org/content/3686
  ☆148Updated 5 months ago
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆106Updated 11 months ago
• spinkney / helpful_stan_functions
  ☆70Updated last year
• tlverse / tlverse-handbook
  🎯 Targeted Learning in R: A Causal Data Science Handbook
  ☆58Updated 2 weeks ago
• m-clark / models-by-example
  By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
  ☆67Updated 3 years ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆36Updated 2 years ago
• EmilHvitfeldt / ISLR-tidymodels-labs
  ☆170Updated last year
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated 10 months ago
• andrewcparnell / jags_examples
  A large set of JAGS examples using R
  ☆91Updated last year
• stan-dev / posterior
  The posterior R package
  ☆167Updated last month
• r-causal / causal_inference_r_workshop
  Causal Inference in R Workshop
  ☆190Updated 2 months ago
• ASKurz / Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed
  The bookdown version lives here:
  ☆125Updated last year
• rje42 / causl
  Methods for Specifying, Simulating from and Fitting Causal Models
  ☆12Updated 3 weeks ago
• ngreifer / WeightIt
  WeightIt: an R package for propensity score weighting
  ☆102Updated this week
• stan-dev / cmdstanr
  CmdStanR: the R interface to CmdStan
  ☆143Updated 2 months ago
• donaldRwilliams / BGGM
  Bayesian Gaussian Graphical Models
  ☆54Updated last week