R Observatory: Metrics for datasusr version 0.1.0

Balamuta, James Joseph

datasusr

0.1.0

Fast Access to Brazilian Public Health Data from 'DATASUS'

0packages depend

801downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Andre LeiteFirst published 2026-05-041 releasesCRAN page ↗GitHub ↗

Provides fast, in-memory reading of 'DATASUS' 'DBC' files using native 'C' code, along with a catalog of public health data sources, 'FTP' file discovery, caching downloads, and a high-level datasus_fetch() function that lists, downloads, and reads files in a single call. Bundles the 'blast' decompressor from 'zlib' contrib/blast to decode 'PKWare DCL' compressed 'DBC' files and parses 'DBF' records directly for efficient import into tibbles. See the 'DATASUS' file transfer site https://datasus.saude.gov.br and Adler (2003) https://github.com/madler/zlib/tree/master/contrib/blast for details on the underlying data and compression format.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("datasusr", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("StrategicProjects/datasusr")

Development version from StrategicProjects/datasusr. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-datasusr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-datasusr

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-datasusr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.6 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-05-05
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 441 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 63%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

801

CRAN downloads in the past year

Rank #13,063 · ~2/day · ~67/mo

Releases R versions

Daily download trend is not available in this view yet.

20130 days

76390 days

8011 year

Compare downloads with other packages →

Also on90 r2u1 autocran

Repository

GitHub ↗ strategicprojects/datasusr

1Stars

0Forks

0Open issues

0Open PRs

0Releases

14Commits

1Contributors

14 commits · Last activity 2026-06-29

Stars over time

2026-07-07 · 02026-07-26 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/strategicprojects/datasusr on 2026-08-03.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-04-29

claude

Most recent: claude on 2026-04-29

Evidence

claude: on or before 2026-04-29 · evidence B, D

How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (8)

cli curl dplyr purrr rlang (>= 1.0.0)stringr tibble tidyr

LinkingTo (0)

none

Suggests (4)

knitr pkgdown rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)

Maintainer (1)

Andre Leite

Author, Maintainer

Authors (5)

Author, Maintainer

Author

Author

Author

Author

Contributors (1)

Mark Adler

Contributor, Copyright holder

Copyright holders (1)

Mark Adler

Contributor, Copyright holder

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-05-04 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-04
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("datasusr")

CRAN DOI

https://doi.org/10.32614/CRAN.package.datasusr

BibTeX, derived from DESCRIPTION

@Manual{datasusr,
  title  = {datasusr: Fast Access to Brazilian Public Health Data from 'DATASUS'},
  author = {Leite, Andre and Adler, Mark and Amorin, Carlos and Bezerra, Diogo and Vasconcelos, Hugo and Wasilew, Marcos},
  year   = {2026},
  note   = {R package version 0.1.0},
  doi    = {10.32614/CRAN.package.datasusr},
  url    = {https://CRAN.R-project.org/package=datasusr}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorydatasusr,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {datasusr} version 0.1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/datasusr},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for datasusr version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/datasusr

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for datasusr version 0.1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/datasusr
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/datasusr.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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