Alternatives and similar repositories for casestudies:

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

• robjhyndman / forecasting_workshop
  ☆16Updated last year
• yao-yl / hierarchical-stacking-code
  code and demo for hierarchical stacking paper
  ☆10Updated 3 years ago
• ajnafa / Bayesian-IPW
  ☆16Updated 3 years ago
• MaggieLieu / STAN_tutorials
  ☆30Updated 4 years ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆44Updated 7 months ago
• JuanLopezMartin / MRPCaseStudy
  An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.
  ☆37Updated 2 years ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆96Updated 3 years ago
• FMenchetti / CausalMBSTS
  ☆16Updated 3 years ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆36Updated 5 months ago
• elanmart / rust-pgbart
  ☆18Updated 2 years ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆36Updated 4 years ago
• joonho112 / Bayesian-causal-inference
  Tutorials on Stan for Bayesian causal inference
  ☆19Updated last year
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆48Updated 10 months ago
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆29Updated last week
• asael697 / bayesforecast
  Automatic forecasting and Bayesian modeling for time series with Stan
  ☆45Updated last year
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• skdeshpande91 / flexBART
  Towards a more flexible BART
  ☆22Updated this week
• tsrobinson / cjbart
  Heterogeneous effects analysis of conjoint experiments using BART
  ☆10Updated last year
• Larsvanderlaan / AdaptiveDML
  Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
  ☆14Updated last month
• jgabry / stancon2018helsinki_intro
  StanCon2018 Helsinki Tutorial
  ☆30Updated 5 years ago
• lauken13 / Beginners_Bayes_Workshop
  ☆23Updated 5 years ago
• stan-dev / docs
  Documentation for the Stan language and CmdStan
  ☆39Updated this week
• XiaoouPan / conquer
  Convolution-type Smoothed Quantile Regression
  ☆21Updated 2 years ago
• luisdamiano / stancon18
  A primer on Hidden Markov Models using Stan. A Case Study submitted as a candidate for a contributed talk in StanCon 2018. Under review.
  ☆31Updated 7 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated 3 weeks ago
• hagijyun / Time_Series_Analysis_4SSM_R_Stan
  Time Series Analysis for the State-Space Model with R/Stan
  ☆24Updated 3 years ago
• LedgerInvesting / bayesblend
  Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…
  ☆34Updated 5 months ago
• spinkney / helpful_stan_functions
  ☆73Updated last year
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated 2 months ago