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A bayesian case-crossover model.

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bayesEpi

bayesEpi implements the case-crossover model used in the paper

Perreault S, Dong GY, Stringer A, Shin H, and Brown P (2024+) Case-crossover designs and overdispersion with application to air pollution epidemiology

Installation

You can install bayesEpi from GitHub with:

# install.packages("devtools")
devtools::install_github("samperochkin/bayesEpi")

Note that (although this is not used in the paper), it requires installing the OSplines package (provided as .zip in inst/ and at https://github.com/Smoothing-IWP/OSplines/tree/development) which itself requires tidyverse.

See the vignette for an illustrative example showing how to use the package.

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A bayesian case-crossover model.

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