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epiCleanr: A Tidy Solution for Epidemiological Data

Offers a tidy solution for epidemiological data. It houses a range of functions for epidemiologists and public health data wizards for data management and cleaning.

Version: 0.2.0
Depends: R (≥ 3.6)
Imports: rio, dplyr, tidyr, tools, withr, ggplot2, stringr, tidyselect, rlang, glue, crayon, countrycode, purrr, tibble, janitor
Suggests: testthat, knitr, haven, readxl, openxlsx, foreign, yaml, clipr, xml2, readODS, rmatio, jsonlite, fst, feather, arrow, xts, data.table, R.utils, stringdist, stringi, ggtext, ggdist, zoo, wesanderson, scales, spsUtil, rmarkdown, ggh4x
Published: 2023-09-28
DOI: 10.32614/CRAN.package.epiCleanr
Author: Mohamed A. Yusuf ORCID iD [aut, cre]
Maintainer: Mohamed A. Yusuf <mohamedayusuf87 at gmail.com>
BugReports: https://github.com/truenomad/epiCleanr/issues
License: MIT + file LICENSE
URL: https://github.com/truenomad/epiCleanr, https://truenomad.github.io/epiCleanr/
NeedsCompilation: no
Materials: README
In views: Epidemiology
CRAN checks: epiCleanr results

Documentation:

Reference manual: epiCleanr.pdf
Vignettes: Using epiCleanr

Downloads:

Package source: epiCleanr_0.2.0.tar.gz
Windows binaries: r-devel: epiCleanr_0.2.0.zip, r-release: epiCleanr_0.2.0.zip, r-oldrel: epiCleanr_0.2.0.zip
macOS binaries: r-release (arm64): epiCleanr_0.2.0.tgz, r-oldrel (arm64): epiCleanr_0.2.0.tgz, r-release (x86_64): epiCleanr_0.2.0.tgz, r-oldrel (x86_64): epiCleanr_0.2.0.tgz
Old sources: epiCleanr archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.