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CRAN: Package epidesc

epidesc: Calculation of Epidemiological Descriptors

Provides tools to easily compute a series of epidemiological indicators to characterise different transmission profiles of infectious diseases with a simple pipeline: format the dates in epiyearweek format, choose the descriptors and their parameters, and compute them. The package is based on the publication 'How heterogeneous is the dengue transmission profile in Brazil? A study in six Brazilian states' <doi:10.1371/journal.pntd.0010746>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: lubridate, nseq
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-08-07
DOI: 10.32614/CRAN.package.epidesc
Author: Raquel Martins Lana ORCID iD [aut], Carles Milà ORCID iD [aut, cre], Iasmin Ferreira de Almeida [aut], Claudia Torres Codeço ORCID iD [aut], Daniela Lührsen ORCID iD [aut], Diego Ricardo Xavier Silva ORCID iD [aut], Christovam Barcellos ORCID iD [aut], Raphael Saldanha ORCID iD [aut], Rachel Lowe ORCID iD [aut]
Maintainer: Carles Milà <carles.milagarcia at bsc.es>
BugReports: https://github.com/BSC-ES/epidesc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/BSC-ES/epidesc
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: epidesc results

Documentation:

Reference manual: epidesc.html , epidesc.pdf
Vignettes: Introduction to epidesc (source, R code)

Downloads:

Package source: epidesc_0.1.0.tar.gz
Windows binaries: r-devel: epidesc_0.1.0.zip, r-release: epidesc_0.1.0.zip, r-oldrel: epidesc_0.1.0.zip
macOS binaries: r-release (arm64): epidesc_0.1.0.tgz, r-oldrel (arm64): epidesc_0.1.0.tgz, r-release (x86_64): epidesc_0.1.0.tgz, r-oldrel (x86_64): epidesc_0.1.0.tgz

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