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All we need is just

• Diabetes dataset:Dataset info,Markdown.

PyStan examples includes these methods:

• Linear RegressionModel,Script.
• Multiple Linear RegressionModel,Script.
• Robust RegressionModel,Script.
• Logistic RegressionModel,Script.
• Multinomial Logistic RegressionModel,Script.
• Ordered Logistic RegressionModel,Script.
• One-way ANOVAModel,Script.
• Two-way ANOVAModel,Script.

R examples includes these methods:

• Factor analysisMarkdown.
• Correlation analysisMarkdown.
• Multiple Linear Regression with interaction termsMarkdown.
• Poisson RegressionMarkdown.
• Bayes FactorsMarkdown.

• Glossary of statistical termsLink.
• Statistical tests with PythonLink.
• Michael Betancourt: “A Conceptual Introduction to Hamiltonian Monte Carlo”, 2017; arXiv:1701.02434.
• Hamiltonian Monte Carlo explained,Link.

• Stan Reference ManualLink.
• PyStan Getting StartedLink.
• Stan example modelsLink.
• Prior choicesLink.

• R-bloggersLink.
• Quick-RLink.

• R datasetsLink.
• Datasets for teachingLink.

• Korner-Nievergelt, F., Korner-Nievergelt, P., Roth, T., Almasi, B., Felten, S. V., & Guélat, J. (2016). Bayesian data analysis in ecology using linear models with R, BUGS and Stan. Amsterdam: Elsevier/Academic Press.