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
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
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
Old sources: epiCleanr archive

Linking:

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