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WhiteLabRt: Novel Methods for Reproduction Number Estimation, Back-Calculation, and Forecasting

A collection of functions related to novel methods for estimating R(t), created by the lab of Professor Laura White. Currently implemented methods include two-step Bayesian back-calculation and now-casting for line-list data with missing reporting delays, adapted in 'STAN' from Li (2021) <doi:10.1371/journal.pcbi.1009210>, and calculation of time-varying reproduction number assuming a flux between various adjacent states, adapted into 'STAN' from Zhou (2021) <doi:10.1371/journal.pcbi.1010434>.

Version: 1.0.1
Depends: R (≥ 3.4.0)
Imports: methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.4.0)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, rmarkdown
Published: 2024-08-16
DOI: 10.32614/CRAN.package.WhiteLabRt
Author: Chad Milando [aut, cre], Tenglong Li [ctb], Zhenwei Zhou [ctb], Laura White [ctb]
Maintainer: Chad Milando <cmilando at bu.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Language: en-US
Materials: README
CRAN checks: WhiteLabRt results

Documentation:

Reference manual: WhiteLabRt.pdf
Vignettes: Backcalculating Reporting Delays Distributions from Linelist Data (source, R code)
Spatial R(t) estimation with transfer estimates (source, R code)

Downloads:

Package source: WhiteLabRt_1.0.1.tar.gz
Windows binaries: r-devel: WhiteLabRt_1.0.1.zip, r-release: WhiteLabRt_1.0.1.zip, r-oldrel: WhiteLabRt_1.0.1.zip
macOS binaries: r-release (arm64): WhiteLabRt_1.0.1.tgz, r-oldrel (arm64): WhiteLabRt_1.0.1.tgz, r-release (x86_64): WhiteLabRt_1.0.1.tgz, r-oldrel (x86_64): WhiteLabRt_1.0.1.tgz
Old sources: WhiteLabRt archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=WhiteLabRt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.