milkha / Splines_in_Stan

Related projects ⓘ

Alternatives and complementary repositories for Splines_in_Stan

• rmcelreath / cmdstan_map_rect_tutorial
  Beginner tutorial for using cmdstan with multithreading
  ☆61Updated 4 years ago
• jgabry / bayes-vis-paper
  'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
  ☆64Updated 4 years ago
• vdorie / stan4bart
  Uses Stan sampler and math library to semiparametrically fit linear and multilevel models with additive Bayesian Additive Regression Tree…
  ☆40Updated 2 months ago
• rmcelreath / glmer2stan
  Define Stan models using glmer-style (lme4) formulas
  ☆55Updated 10 years ago
• jhoupt / DBDA2Estan
  Stan implementations of models in Doing Bayesian Data Analysis, 2nd Edition
  ☆68Updated 6 years ago
• atsa-es / atsar
  Applied time series analysis in R with Stan. Allows fast Bayesian fitting of multivariate time-series models.
  ☆49Updated 5 months ago
• jrnold / ssmodels-in-stan
  State space models (dynamic linear models, hidden Markov models) implemented in Stan.
  ☆47Updated 6 years ago
• ssp3nc3r / rethinking
  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.
  ☆49Updated 5 years ago
• betanalpha / stan_intro
  Draft introduction to probability and inference aimed at the Stan manual.
  ☆84Updated 8 years ago
• bgoodri / StanCon2020
  Material for my proposed StanCon talk
  ☆20Updated 4 years ago
• fate-ewi / bayesdfa
  Bayesian DFA with Stan
  ☆28Updated last month
• quentingronau / bridgesampling
  R package for bridge sampling
  ☆32Updated 6 months ago
• rgiordan / StanSensitivity
  Tools for automatically generating local sensitivity measures in Stan.
  ☆35Updated 3 years ago
• spinkney / helpful_stan_functions
  ☆70Updated last year
• LaplacesDemonR / LaplacesDemon
  A complete environment for Bayesian inference within R
  ☆92Updated 7 months ago
• helske / walker
  Bayesian Generalized Linear Models with Time-Varying Coefficients
  ☆45Updated 2 months ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆91Updated 3 years ago
• avehtari / modelselection
  Case studies on model assessment, model selection and inference after model selection
  ☆171Updated 10 months ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆35Updated 3 weeks 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.
  ☆30Updated 6 years ago
• vasishth / BayesLMMTutorial
  Tutorial files to accompany Sorensen, Hohenstein, and Vasishth paper: http://www.ling.uni-potsdam.de/~vasishth/statistics/BayesLMMs.html
  ☆83Updated 8 years ago
• mbjoseph / CARstan
  Conditional autoregressive models in Stan
  ☆33Updated last year
• MaggieLieu / STAN_tutorials
  ☆29Updated 4 years ago
• jtimonen / lgpr
  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for in…
  ☆25Updated 2 months ago
• johnmyleswhite / JAGSExamples
  Examples of statistical models implemented using JAGS
  ☆99Updated 12 years ago
• gabriuma / basis_functions_approach_to_GP
  ☆54Updated 2 years ago
• florianhartig / LearningBayes
  An introduction to Bayesian statistics
  ☆72Updated 4 months ago
• luisdamiano / BayesHMM
  Full Bayesian Inference for Hidden Markov Models
  ☆40Updated 5 years ago
• ksvanhorn / ART-Forum-2017-Stan-Tutorial
  Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017
  ☆56Updated 5 years ago