A modular Bayesian framework for real-time infectious disease surveillance. Provides tools for nowcasting, reproduction number estimation, delay estimation, and forecasting from data subject to reporting delays, right-truncation, missing data, and incomplete ascertainment

An in-development R package and a Bayesian hierarchical model jointly fitting multiple "local" wastewater data streams and "global" case count data to produce nowcasts and forecasts of both observations

Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM

Pre-compiled CmdStan models in R packages

An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.

Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

R package for the Bayesian estimation of diagnostic classification models using Stan

An R package providing a GUI ('shiny' app) for the R package 'brms'.

A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.

Slides for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

Evaluating Semi-Parametric Nowcasts of COVID-19 Hospital Admissions in Germany

Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

R package to fit EXNEX models with Stan

Presentation on targets at the New York Open Statistical Programming Meetup

Este estudio explora el análisis multinivel desde un enfoque bayesiano para evaluar la variabilidad del rendimiento en matemáticas entre 10 centros educativos

This repository has been merged into https://github.com/onnela-lab/gptools/.

Bayesian penguins: introduction to Bayesian statistics in R and Stan

Learning bayesian data analysis with Statistical Rethinking

R package for bayesian methods including penalized B-splines for fitting bomb radiocarbon reference series and assessing aging bias