Package: Rnaught 0.1.0.9000

Naeem Model

Rnaught: Estimate the Basic Reproduction Number (R0)

A collection of methods for estimating the basic reproduction number (R0) of infectious diseases. Features a web application to interface with the estimators. Uses the models from: Fisman et al. (2013) <doi:10.1371/journal.pone.0083622>, Bettencourt and Ribeiro (2008) <doi:10.1371/journal.pone.0002185>, and White and Pagano (2008) <doi:10.1002/sim.3136>. Includes datasets for Canadian national and provincial COVID-19 case counts provided by Berry et al. (2021) <doi:10.1038/s41597-021-00955-2>.

Authors:Naeem Model [aut, cph, cre], Sawitree Boonpatcharanon [aut, cph], Jane Heffernan [aut, cph], Hanna Jankowski [aut, cph], Tatiana Krikella [aut, cph], Kseniia Lipikhin [ctb, cph]

Rnaught_0.1.0.9000.tar.gz
Rnaught_0.1.0.9000.zip(r-4.7-any)Rnaught_0.1.0.9000.zip(r-4.6-any)Rnaught_0.1.0.9000.zip(r-4.5-any)
Rnaught_0.1.0.9000.tgz(r-4.6-any)Rnaught_0.1.0.9000.tgz(r-4.5-any)
Rnaught_0.1.0.9000.tar.gz(r-4.7-any)Rnaught_0.1.0.9000.tar.gz(r-4.6-any)
Rnaught_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Rnaught/json (API)

# Install 'Rnaught' in R:
install.packages('Rnaught', repos = c('https://mi2yorku.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mi2yorku/rnaught/issues

Pkgdown/docs site:https://mi2yorku.github.io

Datasets:
  • COVIDCanada - COVID-19 Canada National Case Counts, 2020-2023
  • COVIDCanadaPT - COVID-19 Canada Provincial and Territorial Case Counts, 2020-2023

On CRAN:

Conda:

basic-reproduction-numbercompartmental-modelsinfectious-disease-modelsinfectious-diseasesr0shiny

4.65 score 1 stars 4 scripts 224 downloads 5 exports 0 dependencies

Last updated from:b483496990. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK199
linux-releaseOK113
macos-releaseOK128
macos-oldrelOK191
windows-develOK64
windows-releaseOK79
windows-oldrelOK71
wasm-releaseOK96

Exports:idideaseq_bayeswebwp

Dependencies:

Sequential Bayes: Utilizing the Posterior Distribution
Rendered fromseq_bayes_post.Rmdusingknitr::rmarkdown

Last update: 2025-08-28
Started: 2024-02-03

White and Pagano: Utilizing the Serial Distribution
Rendered fromwp_serial.Rmdusingknitr::rmarkdown

Last update: 2025-08-28
Started: 2024-02-13

Introduction to Rnaught
Estimators | Web Application | Datasets
Rendered fromRnaught.Rmdusingknitr::rmarkdown

Last update: 2025-05-29
Started: 2025-01-29