bgoodri Goto Github PK

apsta-ge-2123_2022

Materials for my class at NYU

ay2019-2020-winter-collaboratory-faculty

baseballr

A package written for R focused on baseball analysis. Currently in development.

bayesdfa

Bayesian DFA with Stan

bdif

bh

R package providing Boost Header files

bmlm

Bayesian multilevel mediation models in R

bnets

breathteststan

This package contains the Stan-based fitting function for use with dmenne/breathtestcore. Stan function were moved to a separate package for easier testing.

bridgesampling

R package for bridge sampling

carstan

Conditional autoregressive models in Stan

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

covid19_bayesian_rct

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

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.

dfpk

disturbancebayes

A package for estimating disturbance rates from TimeSync.

dsge.jl

Solve and estimate Dynamic Stochastic General Equilibrium models (including the FRBNY DSGE)

ethzurich_rstan_course

Material for my RStan course at ETH Zurich

gastempt

A package and a Shiny web application to create simulated gastric emptying data, and to analyze experimental gastric emptying data using population fit with R and package nlme.

glmmfields

R package for Bayesian spatial and spatiotemporal GLMMs with possible extremes

glmproj

gr5065_2021

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

gr5065_2022

gr5065_2023

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

gr5065_2024

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