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ViroReportR: Respiratory Viral Infection Forecast Reporting

Tools for reporting and forecasting viral respiratory infections, using case surveillance data. Report generation tools for short-term forecasts, and validation metrics for an arbitrary number of customizable respiratory viruses. Estimation of the effective reproduction number is based on the 'EpiEstim' framework described in work by 'Cori' and colleagues. (2013) <doi:10.1093/aje/kwt133>.

Version: 1.0.3
Depends: R (≥ 4.1.0)
Imports: data.table, dplyr, EpiEstim, ggplot2, incidence, lubridate, projections, purrr, rlang, tibble, stats, utils, tidyr, glue, mgcv, kableExtra, cowplot
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-02-12
DOI: 10.32614/CRAN.package.ViroReportR
Author: Mike Irvine [aut, cre, cph], Caesar Wong [aut], Nirupama Tamvada [aut], Rebeca Falcao [aut], Nelson Tang [aut]
Maintainer: Mike Irvine <mike.irvine at bccdc.ca>
BugReports: https://github.com/BCCDC-PHSA/ViroReportR/issues
License: GPL (≥ 3)
URL: https://github.com/BCCDC-PHSA/ViroReportR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ViroReportR results [issues need fixing before 2026-03-08]

Documentation:

Reference manual: ViroReportR.html , ViroReportR.pdf
Vignettes: Model fitting and producing short-term forecasts using daily data with EpiEstim (source, R code)

Downloads:

Package source: ViroReportR_1.0.3.tar.gz
Windows binaries: r-devel: ViroReportR_1.0.3.zip, r-release: ViroReportR_1.0.3.zip, r-oldrel: ViroReportR_1.0.3.zip
macOS binaries: r-release (arm64): ViroReportR_1.0.3.tgz, r-oldrel (arm64): ViroReportR_1.0.3.tgz, r-release (x86_64): ViroReportR_1.0.3.tgz, r-oldrel (x86_64): ViroReportR_1.0.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ViroReportR 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.