bgoodri

StanCon2020

Material for my proposed StanCon talk

GR5065_2022

NYU2020

This is the course material for my 2020 Bayesian inference class at NYU.

GR5065_2024

Material for my class on Bayesian Statistics for the Social Sciences at Columbia

GR5065_2021

Material for my Columbia M.A. class "Bayesian Statistics for the Social Sciences"

GR5065_2023

Material for my course on Bayesian Statistics for the Social Sciences at Columbia

APSTA-GE-2123_2022

Materials for my class at NYU

covid19_Bayesian_RCT

Stan programs to help out with a Bayesian Randomized Control Trial for drugs to combat COVID-19

bayesdfa

Bayesian DFA with Stan

ETHzurich_RStan_Course

Material for my RStan course at ETH Zurich

AY2019-2020-Winter-Collaboratory-Faculty

CausalQueries

Bayesian inference from binary causal models

ChebTools

C++ tools for working with Chebyshev expansion interpolants

CJStan

Multilevel Bayesian mark-recapture modeling with Hamiltonian Monte Carlo sampling in Stan

covid19model

Code for modelling estimated deaths and cases for COVID19.

ctsem

Hierarchical continuous time state space modelling

datafest

Materials and code for Harvard DataFest workshop

DeLorean

R package to model time series accounting for noise in the temporal dimension. Specifically designed for single cell transcriptome experiments.

idealstan

idealstan offers Bayesian IRT models for understanding polarization in social processes. The model was developed for legislature rollcall voting data to take into account absences and abstentions. Package includes visualization of models and ideal point distributions. All models are estimated in the Stan framework.

inline

Inline C, C++ or Fortran functions in R

MetaStan

nlmixr

nlmixr: an R package for population PKPD modeling

OpenMx

Repository for the OpenMx Structural Equation Modeling package

pi-vae

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

r-testing

Modified base R to test new toolchain

Rlgt

Rlgt is an R package for Bayesian Exponential Smoothing

stan4bart

I stan4bart

survHE

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

trialr

Clinical Trial Designs in R & RStan

walker

Baysian dynamic linear regression models with Stan