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DIVINE

0.1.2Package record

Curated Datasets and Tools for Epidemiological Data Analysis

0packages depend
3.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.2
  • Changes to the column order of a couple of datasets and the creation of note to the impute_missing() function.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 415 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
20
Examples that run
83%5 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
89%
Return-value docs
100%
Help pages citing references
70%
Vignettes (1)

Downloads

3.6K
CRAN downloads in the past year
Rank #11,603 · ~10/day · ~299/mo
Daily download trend is not available in this view yet.
37630 days
92690 days
3.6K1 year
Compare downloads with other packages →
Also on92 r2u1 autocran

Repository

1Stars
0Forks
1Open issues
0Open PRs
1Releases
43Commits
1Commit identities
License file reads as GPL-3.0 · 43 commits · Last activity 2026-06-22 · 0% stars, 30d · Default branch at 0.1.3, ahead of CRAN 0.1.2 (checked 2026-10-18)
Responsiveness
not measured

Stars over time

2025-12-07 · 12026-07-07 · 1
PracticesBeta

5 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/bruigtp/divine on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-06-22 · The repository has a site deploy workflow

pkgdown site last built 2026-06-22

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
15 external dependencies (excludes base and recommended)

Installing DIVINE adds 93 packages (47 with compiled code, 77 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.1.0 (2025)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    record
    2026-03-30 · current release · diff ↗
  • 0.1.1
    record
    2025-12-11 · diff ↗
  • 0.1.0
    record
    2025-11-11
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-11
Total releases
3 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.1
Bundled data
322 KB / 14 files
Download size
418 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("DIVINE")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/s40121-022-00705-w.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DIVINE version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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