Respiratory Viral Infection Forecast Reporting R package ViroReportR version 1.0.4 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>. Software 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) Mike Irvine <mike.irvine@bccdc.ca> Comprehensive R Archive Network (CRAN) Mike Irvine [aut, cre, cph], Caesar Wong [aut], Nirupama Tamvada [aut], Rebeca Falcao [aut], Nelson Tang [aut] GPL (>= 3) 2026-02-17 application/tgz https://CRAN.R-project.org/package=ViroReportR doi:10.32614/CRAN.package.ViroReportR