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bayes-stan-course

Bayes/Stan Short Course | July 2016 | NYC

bayes-vis-paper

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

bayes-workflow-book

Source files for the book "Bayesian Workflow Using Stan"

bayes_r2

"R-squared for Bayesian regression models" by Gelman, Goodrich, Gabry, and Vehtari

bayesdfa

Bayesian DFA with Stan

bmlm

Bayesian multilevel mediation models in R

brms

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

broom

Convert statistical analysis objects from R into tidy format

case-studies

Case studies in applied and computational statistics.

cox_katz_rep

devtools

Tools to make an R developer's life easier

farhang_katznelson_rep

gibbs_shiny

Gibbs Sampler Demonstration (Shiny App)

jackson_kollman_rep

Files for reanalysis of Jackson & Kollman (2010)

jgabry.github.io

katz_sala_rep

lander-stan-2020-public

lander-stan-class-2021

Lander Analytics Bayes/Stan Class 2021

lander-stan-class-2023

Materials for Bayes/Stan workshop using CmdStanR

mcmc-demo

Interactive Markov-chain Monte Carlo Javascript demos

nyr-stan-workshop-2023

NY R Stan Workshop 2023

pavia-2018

Stan/Bayes Class in Pavia

pi-vae

Code for utilising VAE as means of doing exact MCMC inference in complex high-dimensional space

post_pred_shiny

psis

Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave

psrwe

qmss_in_r

Code for Greg Eirich's QMSS courses at Columbia University

qmss_package

R package for Greg Eirich's QMSS Courses at Columbia University

qmss_paper

r2prior

Paper about rstanarm's R2 prior