worked R examples

🚫 ↩️ A document that introduces Bayesian data analysis.

Noisy network measurement with stan

idealstan offers item-response theory (IRT) ideal-point estimation for binary, ordinal, counts and continuous responses with time-varying and missing-data inference. Latent space model also included. Full and approximate Bayesian sampling with 'Stan' (www.mc-stan.org).

Run standard t-tests, simulations, and Bayesian difference in means tests with R and Stan

Spatial capture-recapture models in Stan

The repository contains the materials about bayesian statistics using R and Stan.

Stan language support for Visual Studio Code

A workshop on using Stan with R.

Materials for Bayes/Stan workshop using CmdStanR

An efficient Python implementation for Bayesian inference in binary stars based on Stan.

The implementation of natural cubic spline models in STAN

This Github repository includes statistical programs and data used to construct estimates of state firearm injury hospitalizations described in “Inpatient Hospitalizations for Firearm Injury: Estimating State-Level Rates from 2000 to 2016” by Rosanna Smart, Samuel Peterson, Terry L. Schell, Rose Kerber, and Andrew R. Morral. RAND Corporation: Sa…

A repository for showcasing my knowledge of the Stan programming language, and continuing to learn the language.

Epidemics (2020)

🏞️🟦️ℹ️ A project written entirely in the Stan programming language. Named after Stan Marsh from the South Park media series.

The Stan Programming language IDE submodule for SNU Programming Tools (2D Mode)

Lotka-Volterra competition model in Stan

TITE-PK method for sequential phase I trials with multiple schedules

MCMC inference on Switching Linear Dynamical Systems, using Stan and JAGS