linelistBayes: Bayesian Analysis of Epidemic Data Using Line List and Case Count Approaches

Provides tools for performing Bayesian inference on epidemiological data to estimate the time-varying reproductive number and other related metrics. These methods were published in Li and White (2021) <doi:10.1371/journal.pcbi.1009210>. This package supports analyses based on aggregated case count data and individual line list data, facilitating enhanced surveillance and intervention planning for infectious diseases like COVID-19.

Version: 1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.11), magrittr, lubridate, coda, dplyr
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-05-03
Author: Chad Milando [aut, cre], Tenglong Li [ctb], Laura White [ctb]
Maintainer: Chad Milando <cmilando at bu.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: linelistBayes results

Documentation:

Reference manual: linelistBayes.pdf
Vignettes: linelistBayes: an introduction

Downloads:

Package source: linelistBayes_1.0.tar.gz
Windows binaries: r-devel: linelistBayes_1.0.zip, r-release: linelistBayes_1.0.zip, r-oldrel: linelistBayes_1.0.zip
macOS binaries: r-release (arm64): linelistBayes_1.0.tgz, r-oldrel (arm64): linelistBayes_1.0.tgz, r-release (x86_64): linelistBayes_1.0.tgz, r-oldrel (x86_64): linelistBayes_1.0.tgz

Linking:

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