epiviz: Data Visualisation Functions for Epidemiological Data Science Products

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>.

Version:	0.1.2
Depends:	R (≥ 4.1.0)
Imports:	grDevices, assertthat, classInt, dplyr, ggplot2, RColorBrewer, plotly, sf, leaflet, htmltools, stringr, scales, tidyr, lubridate, ISOweek, forcats, slider, rlang, ellmer, jsonlite, lifecycle
Suggests:	testthat (≥ 3.0.0), mockery, withr, yarrr, knitr, rmarkdown, shiny
Published:	2026-03-05
DOI:	10.32614/CRAN.package.epiviz (may not be active yet)
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 at ukhsa.gov.uk>
BugReports:	https://github.com/ukhsa-collaboration/epiviz/issues
License:	MIT + file LICENSE
URL:	https://github.com/ukhsa-collaboration/epiviz
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	epiviz results

Documentation:

Reference manual:	epiviz.html , epiviz.pdf
Vignettes:	Age-sex pyramids (source, R code) Column charts (source, R code) Epi curves (source, R code) Epidemiological maps (source, R code) Getting started with epiviz (source, R code) Line charts (source, R code) LLM-assisted epidemiological narrative (source, R code) Point charts (source, R code)

Downloads:

Package source:	epiviz_0.1.2.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): epiviz_0.1.2.tgz, r-oldrel (arm64): epiviz_0.1.2.tgz, r-release (x86_64): epiviz_0.1.2.tgz, r-oldrel (x86_64): epiviz_0.1.2.tgz

Linking:

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