New package epiviz with initial version 0.1.2

Thu, 05 Mar 2026 05:02:00 CDT

Package: epiviz
Title: Data Visualisation Functions for Epidemiological Data Science Products
Version: 0.1.2
Description: Tools for making epidemiological reporting easier with consistent static and dynamic charts and maps. Builds on 'ggplot2' for static visualizations as described in Wickham (2016) <doi:10.1007/978-3-319-24277-4> and 'plotly' for interactive visualizations as described in Sievert (2020) <doi:10.1201/9780429447273>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Suggests: testthat (>= 3.0.0), mockery, withr, yarrr, knitr, rmarkdown, shiny
Imports: grDevices, assertthat, classInt, dplyr, ggplot2, RColorBrewer, plotly, sf, leaflet, htmltools, stringr, scales, tidyr, lubridate, ISOweek, forcats, slider, rlang, ellmer, jsonlite, lifecycle
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
URL: https://github.com/ukhsa-collaboration/epiviz
BugReports: https://github.com/ukhsa-collaboration/epiviz/issues
NeedsCompilation: no
Packaged: 2026-02-28 18:35:19 UTC; Harshana.Liyanage
Author: Harshana Liyanage [aut, cre] , James Duke [aut], Alex Bhattacharya [aut] , Liam Fitzpatrick [aut], James Leatherland [aut], Jordan Worth [aut], Emma Parker [aut], Jade Talbot [ctb] , Karen Crawford [ctb], Frederick Sloots [ctb], Charlie Turner [ctb]
Maintainer: Harshana Liyanage <harshana.liyanage@ukhsa.gov.uk>
Repository: CRAN
Date/Publication: 2026-03-05 10:40:02 UTC

More information about epiviz at CRAN