cleanepi: Clean and Standardize Epidemiological Data

Cleaning and standardizing tabular data package, tailored specifically for curating epidemiological data. It streamlines various data cleaning tasks that are typically expected when working with datasets in epidemiology. It returns the processed data in the same format, ensuring seamless integration into existing workflows. Additionally, it generates a comprehensive report detailing the outcomes of each cleaning task.

Package overview README.md Introduction to cleanepi Package Design vignette for {cleanepi}

Vignettes Man pages API and functions Files

Package details
Author	Karim Mané [aut, cre] (<https://orcid.org/0000-0002-9892-2999>), Thibaut Jombart [cph] (Thibault is the owner of the code in guess_dates.R file.), Bubacarr Bah [aut] (<https://orcid.org/0000-0003-3318-6668>), Bankolé Ahadzie [aut], Nuredin Mohammed [aut], Abdoelnaser Degoot [aut] (<https://orcid.org/0000-0001-8788-2496>), Hugo Gruson [rev] (<https://orcid.org/0000-0002-4094-1476>), Pratik R. Gupte [rev] (<https://orcid.org/0000-0001-5294-7819>), James M. Azam [rev] (<https://orcid.org/0000-0001-5782-7330>), Joshua W. Lambert [rev] (<https://orcid.org/0000-0001-5218-3046>), Chris Hartgerink [rev] (<https://orcid.org/0000-0003-1050-6809>), London School of Hygiene and Tropical Medicine, LSHTM [cph], data.org [fnd]
Maintainer	Karim Mané <karim.mane@lshtm.ac.uk>
License	MIT + file LICENSE
Version	1.0.2
URL	https://epiverse-trace.github.io/cleanepi/ https://github.com/epiverse-trace/cleanepi
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("cleanepi")`