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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 [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 |
Reference manual: | epiCleanr.pdf |
Vignettes: |
Using epiCleanr |
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 |
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.