Alternatives and similar repositories for stancon2018helsinki_intro

Users that are interested in stancon2018helsinki_intro are comparing it to the libraries listed below

• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 4 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆170Updated last year
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆66Updated 5 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆85Updated 9 years ago
• betanalpha / knitr_case_studies
  Inference case studies in knitr
  ☆169Updated 3 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 7 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆50Updated 6 years ago
• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆62Updated 5 years ago
• ASKurz / Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
  Translating ML into Bayes, one line at a time
  ☆82Updated 2 years ago
• MaggieLieu / STAN_tutorials
  ☆31Updated 5 years ago
• to-mi / stan-survival-shrinkage
  Bayesian linear survival analysis with shrinkage priors in Stan
  ☆25Updated 9 years ago
• spinkney / helpful_stan_functions
  ☆78Updated 3 weeks ago
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆97Updated last year
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated last year
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆40Updated 3 years ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 7 years ago
• vdorie / bartCause
  Causal Inference using Bayesian Additive Regression Trees
  ☆84Updated 2 months ago
• stan-dev / projpred
  Projection predictive variable selection
  ☆112Updated last month
• helske / KFAS
  KFAS: R Package for Exponential Family State Space Models
  ☆69Updated 5 months ago
• milkha / Splines_in_Stan
  Implementation of B-Splines in Stan
  ☆51Updated 8 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 6 years ago
• vincentarelbundock / rethinking2
  ☆81Updated 2 years ago
• eleanormurray / causalgraphs_latex
  Drawing graphical models for causal inference using LaTeX
  ☆118Updated 2 years ago
• jkarreth / Bayes
  Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.
  ☆44Updated 8 years ago
• JeffreyRacine / R-Package-np
  R package np (Nonparametric Kernel Smoothing Methods for Mixed Data Types)
  ☆49Updated 8 months ago
• avehtari / casestudies
  ☆30Updated last year
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆41Updated 2 weeks ago
• kapelner / bartMachine
  An R-Java Bayesian Additive Regression Trees implementation
  ☆62Updated last year
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated last year
• stablemarkets / BayesianTutorials
  Implementing MCMC sampling from scratch in R for various Bayesian models
  ☆111Updated last year