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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 |
| Reference manual: | linelistBayes.pdf |
| Vignettes: |
linelistBayes: an introduction |
| 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 |
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These binaries (installable software) and packages are in development.
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