Making Predictions from Stan models in R | by Alex Pavlakis | Medium
bayesian - Modelling Parameter $r = \max\limits_{i = 1, \dots , 10} p_i - \min\limits_{i = 1, \dots , 10} p_i$ of Binomial Random Variable in Stan/ RStan/R - Cross Validated
Checking model convergence using rstan, through inspection of the... | Download Scientific Diagram
alex hayes - some things i've learned about stan
Stan - bayesplot
Posterior predictive output with Stan | mages' blog
Part 3: Advanced Use of Stan, RStan and Torsten for Pharmacometric Applications (2018) - YouTube
modeling in Stan using rstan
R Stan: First Examples
stan - Is there a function check_rhat() in rstan package? - Stack Overflow
Intro to Stan
Stan on the web! (thanks to RStudio) | Statistical Modeling, Causal Inference, and Social Science
RStan Getting Started · stan-dev/rstan Wiki · GitHub
Bayesian Varying Effects Models in R and Stan - Will Hipson
Bayesian Varying Effects Models in R and Stan - Will Hipson
Multilevel Modeling in Stan | Nick Jenkins
Tracking Stan sampling progress in Shiny | A Random Walk
Non-linear model of serial dilutions with Stan | Joshua Cook
Raluca Stan | John Chambers College of Business and Economics | West Virginia University
RStan: the R interface to Stan
Stan and BRMS introduction | Fiona Seaton
r - Transforming variables in rstan (bayesian analysis) - Stack Overflow
Psych | Free Full-Text | Comparing the MCMC Efficiency of JAGS and Stan for the Multi-Level Intercept-Only Model in the Covariance- and Mean-Based and Classic Parametrization
Containerised applications on the HPC (RStan example) - Wytamma's Blog
Summary of the simulated results using rstan function with Mean stands... | Download Scientific Diagram
