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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 (may not be active yet) |
| Author: | Raquel Martins Lana
|
| 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 |
| Reference manual: | epidesc.html , epidesc.pdf |
| Vignettes: |
Introduction to epidesc (source, R code) |
| Package source: | epidesc_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=epidesc 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.