R Observatory: Metrics for raisr version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

raisr

0.1.0Package record

Access 'RAIS' Microdata from the Brazilian Ministry of Labour

0packages depend

395downloads / year

91.5%test coverage

13/13flavors OK

Overview

About

Maintained by Andre LeiteCRAN page ↗GitHub ↗Website ↗Issues ↗

Download and read the public, non-identified microdata of the 'RAIS' (Relação Anual de Informações Sociais), the annual census of formal employment relationships and establishments published by the Brazilian Ministry of Labour and Employment through the 'PDET' FTP server <ftp://ftp.mtps.gov.br/pdet/microdados/RAIS/>. Lists the years and archives available on the server, resolves which regional or state archive holds a given state, downloads it with an idempotent local cache, and reads the '7z' archives as a stream, filtering by state and selecting columns before anything is kept in memory, so that a single state can be extracted from a regional file of tens of millions of records. Handles the two header generations of the files (up to the 'RAIS' 2022 and from the 'RAIS' 2023 onwards) with the same normalized column names, provides the official record layout and a helper to consolidate the employment stock, admissions, separations and December payroll.

Changes in 0.1.0

Initial release.

rais_available() lists every archive published on the PDET/MTE FTP server, with size, modification date and edition (final, partial, legacy).
rais_files() resolves offline which archive holds a state in a year (one file per state up to 2017, regional files from 2018) and rais_ufs() gives the state table behind it.
rais_download() fetches the archives into an idempotent local cache that mirrors the server layout (rais_cache_dir(), rais_cache_list(), rais_cache_clear()).
rais_read() stream-reads a .7z archive, filtering by state and selecting columns chunk by chunk, detecting the file generation (; with decimal comma up to the RAIS 2022, , with decimal point from the RAIS 2023) and mapping both to the same normalized column names; rais_fetch() combines download and read for several years.

Show all changes in 0.1.0Hide the rest of the changes in 0.1.0

rais_stock() consolidates the stock on 31 December, admissions, separations and December payroll by any grouping.
rais_layout() documents the columns of the employment and establishment files, with the two header spellings of each.
Sample archives in inst/extdata (both generations, employment and establishments, plus a pre-2018 state file) allow every reading function to be tried offline.

From NEWS.md in the release

Install

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

install.packages("raisr", 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/raisr")

Development version from StrategicProjects/raisr. 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-raisr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-raisr

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

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

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.3 min · r-oldrel-macos-x86_64

Status changes

OK13 OKNow
OK6 OK2026-09-30

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 638 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsiteYes · pkgdown

Help pages: 12 (1 internal)includes a package overview page
Examples that run: 82%9 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (2)

How these are measured

Downloads

395

CRAN downloads in the past year

Rank #25,223 · ~1/day · ~33/mo

Releases R versions

Daily download trend is not available in this view yet.

39530 days

39590 days

3951 year

Compare downloads with other packages →

Also on4 r2u

How downloads are counted

Repository

strategicprojects/raisr ↗Organization: StrategicProjects

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-09-29

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/strategicprojects/raisr on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-09-29 · The repository has a site deploy workflow

pkgdown site last built 2026-09-29

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-09-18
Named in .Rbuildignore: CLAUDE.md
Named in .gitignore: .claude, CLAUDE.md
Commits: at least 5 crediting it in the message

Models named in its commits

Claude Fable 5.13 commits · Sep 2026
Claude Opus 5.52 commits · Sep 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing raisr adds 27 packages (16 with compiled code, 19 MB of source tarballs). Heaviest: stringi 11 MB, vctrs 1.0 MB, rlang 766 KB.

Depends (1)

R >= 4.1.0

Imports (7)

archive cli curl readr (>= 2.1.0)rlang stringi tibble

LinkingTo (0)

none

Suggests (5)

dplyr knitr rmarkdown testthat withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (6)

Andre Leite

Author, Maintainer since 0.1.0 (2026)

Carlos Amorim

Author

Diogo Bezerra

Author

Júlia Nascimento Barreto

Author

Hugo Vasconcelos

Author

Marcos Wasiliew

Author

Releases (1)

0.1.0Latest
record
2026-09-29 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-29
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 64 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("raisr")

Format

Leite, A., Amorim, C., Bezerra, D., Nascimento Barreto, J., Vasconcelos, H., & Wasiliew, M. (2026). raisr: Access 'RAIS' Microdata from the Brazilian Ministry of Labour (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.raisr

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for raisr version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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