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DIVINE: Curated Datasets and Tools for Epidemiological Data Analysis

Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: dplyr, fmsb, ggplot2, gtsummary, haven, openxlsx, plotly, purrr, rlang, scales, stringr, tibble, tidyselect
Suggests: knitr, rmarkdown
Published: 2025-11-11
DOI: 10.32614/CRAN.package.DIVINE (may not be active yet)
Author: Natàlia Pallarès [aut, cre], João Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebé [aut]
Maintainer: Natàlia Pallarès <npallares at igtp.cat>
BugReports: https://github.com/bruigtp/DIVINE/issues
License: GPL (≥ 3)
URL: https://bruigtp.github.io/DIVINE/
NeedsCompilation: no
Citation: DIVINE citation info
Materials: README, NEWS
CRAN checks: DIVINE results

Documentation:

Reference manual: DIVINE.html , DIVINE.pdf
Vignettes: DIVINE (source, R code)

Downloads:

Package source: DIVINE_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): DIVINE_0.1.0.tgz, r-oldrel (arm64): DIVINE_0.1.0.tgz, r-release (x86_64): DIVINE_0.1.0.tgz, r-oldrel (x86_64): DIVINE_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DIVINE 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.