Alternatives and similar repositories for RstanWorkflow

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

• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆57Updated 6 years ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 7 years ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 11 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 4 years ago
• rasmusab / bayesboot
  An R package implementing Rubin's (1981) Bayesian bootstrap.
  ☆49Updated 4 months ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• stan-dev / stan-dev.github.io
  Stan website built using Quarto, theming in repo quarto-config
  ☆22Updated 2 months ago
• jpiironen / rstan-varsel
  Projection predictive input variable selection using Stan+R
  ☆8Updated 5 years ago
• khakieconomics / MSW
  Files for Modern Statistical Workflow workshop
  ☆10Updated 9 years ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• mbjoseph / CARstan
  Conditional autoregressive models in Stan
  ☆33Updated last year
• patperry / r-mbest
  Moment-Based Estimation for Hierarchical Models (R Package)
  ☆25Updated 3 months ago
• stappit / bayesian-data-analysis
  Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.
  ☆21Updated 5 years ago
• deaneckles / randomization_inference
  Tutorial in randomization inference, experimental design and analysis, and experiments in networks.
  ☆29Updated 9 years ago
• vdorie / dbarts
  Discrete Bayesian Additive Regression Trees Sampler
  ☆59Updated 4 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• roualdes / stan_cheatsheets
  A collection of RStudio style cheatsheets for the Stan ecosystem
  ☆58Updated 5 years ago
• flaxter / us2016
  Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
  ☆16Updated 7 years ago
• airoldilab / sgd
  An R package for large scale estimation with stochastic gradient descent
  ☆62Updated last year
• ledell / subsemble
  subsemble R package for ensemble learning on subsets of data
  ☆43Updated 3 years ago
• jrnold / docker-stan
  Dockerfiles with rstan and CmdStan
  ☆24Updated 6 years ago
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• jrnold / bayesian_notes
  ☆37Updated 4 years ago
• xfim / ggmcmc
  Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
  ☆112Updated 2 years ago
• bquast / rnn
  Recurrent Neural Networks in R
  ☆77Updated 2 years ago
• patr1ckm / mvtboost
  Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.
  ☆36Updated 7 years ago