RtD3: Rt Visualization in D3

Create interactive visualisations of Rt estimates using 'D3.js' (Gibbs et al. (2020) <doi:10.5281/zenodo.4011842>). Developed primarily targeting Rt estimates generated by the 'EpiNow2' package, 'RtD3' aims to make simple, beautiful visualisations that help researchers explore their results and share them with others.

Version: 0.0.1
Imports: jsonlite, htmlwidgets, geojsonsf, data.table, purrr
Suggests: testthat, spelling, knitr, covr, dplyr, sf, rgeos, rnaturalearth
Published: 2020-11-06
Author: Hamish Gibbs ORCID iD [aut, cre], Sam Abbott ORCID iD [aut], Sebastian Funk [aut]
Maintainer: Hamish Gibbs <lshhg2 at lshtm.ac.uk>
BugReports: https://github.com/epiforecasts/RtD3/issues
License: MIT + file LICENSE
URL: https:/epiforecasts.io/RtD3, https://github.com/epiforecasts/RtD3
NeedsCompilation: no
Language: en-US
Citation: RtD3 citation info
Materials: README NEWS
CRAN checks: RtD3 results


Reference manual: RtD3.pdf


Package source: RtD3_0.0.1.tar.gz
Windows binaries: r-devel: RtD3_0.0.1.zip, r-release: RtD3_0.0.1.zip, r-oldrel: RtD3_0.0.1.zip
macOS binaries: r-release (arm64): RtD3_0.0.1.tgz, r-oldrel (arm64): RtD3_0.0.1.tgz, r-release (x86_64): RtD3_0.0.1.tgz, r-oldrel (x86_64): RtD3_0.0.1.tgz


Please use the canonical form https://CRAN.R-project.org/package=RtD3 to link to this page.