Learning bayesian data analysis with Statistical Rethinking
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Updated
Feb 23, 2022 - HTML
Learning bayesian data analysis with Statistical Rethinking
Presentation on targets at the New York Open Statistical Programming Meetup
Evaluating Semi-Parametric Nowcasts of COVID-19 Hospital Admissions in Germany
R package to fit EXNEX models with Stan
Slides for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)
A Docker image to run Stan, cmdstanr, and brms for Bayesian statistical modelling. GPU support using OpenCL is available.
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'.
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
An R package and Bayesian generative model to estimate epidemiological parameters from wastewater concentration measurements over time.
Pre-compiled CmdStan models in R packages
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM
Tools to enable flexible and efficient hierarchical nowcasting of epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes.
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