R Observatory: Metrics for ineAtlas version 0.2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ineAtlas

0.2.1Package record

Access to Spanish Household Income Distribution Atlas Data

0packages depend

4.7Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Pablo García GuzmánCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides access to granular socioeconomic indicators from the Spanish Statistical Office (INE) Household Income Distribution Atlas. The package downloads and processes data from a companion 'GitHub' repository (https://github.com/pablogguz/ineAtlas.data/) which contains processed versions of the official INE Atlas data. Functions are provided to fetch data at multiple geographic levels (municipalities, districts, and census tracts), including income indicators, demographic characteristics, and inequality metrics. The data repository is updated every year when new releases are published by INE.

Changes in 0.2.1

get_tract_geom() now fetches 2024 and 2025 geometries
get_atlas(), get_census() and get_tract_geom() now fail gracefully when the data repository cannot be reached: they return NULL with an informative message instead of an error
Vignettes are precomputed, so building them does not need internet access
Tests that need internet access are skipped on CRAN

From NEWS.md in the release

Install

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

install.packages("ineAtlas", 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("pablogguz/ineAtlas")

Development version from pablogguz/ineAtlas. 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-ineatlas

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-ineAtlas

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-ineAtlas

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.4 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK14 OK2026-04-08
ERROR13 OK, 1 ERROR2026-04-07
OK14 OK2026-03-25
ERROR13 OK, 1 ERROR2026-03-24
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.1

READMEYes · 326 wordsVignettesYes · 2 · staticNEWSYes · 100% structured · mentions 0.2.1Citation fileNoWebsiteYes · pkgdown

Help pages: 4 (1 internal)includes a package overview page
Examples that run: 0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (2)

How these are measured

Downloads

4.7K

CRAN downloads in the past year

Rank #25,619 · ~13/day · ~392/mo

Releases R versions

Daily download trend is not available in this view yet.

12930 days

12990 days

4.7K1 year

Compare downloads with other packages →

Also on79 r2u3 autocran

How downloads are counted

Repository

pablogguz/ineatlas ↗Account: pablogguz

26Stars

1Forks

0Open issues

0Open PRs

6Releases

98Commits

1Commit identities

98 commits · Last activity 2026-10-19

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 86
Median days to close, 50 most recently updated closed PRs: 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/pablogguz/ineatlas on 2026-10-25.

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 2026-10-19 · The repository has a site deploy workflow

pkgdown site last built 2026-10-19, before release 0.2.1 (2026-10-20)

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 2026-04-24
Seen in the repository: CLAUDE.md
Named in .Rbuildignore: CLAUDE.md
Commits: at least 4 crediting it in the message

Models named in its commits

Claude Opus 5.53 commits · Oct 2026
Claude Opus 4.71 commit · Apr 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

16 external dependencies (excludes base and recommended)

Installing ineAtlas adds 45 packages (30 with compiled code, 39 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, s2 2.8 MB.

Depends (0)

none

Imports (7)

dplyr httr readr sf stringrutilszip

LinkingTo (0)

none

Suggests (10)

data.table ggplot2 ggtext knitr mapSpain mockery rmarkdown spelling testthat tidyr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Pablo García Guzmán

Releases (4)

Pick two releases to compare their code metrics.

unarchivedReturned to CRAN
2026-10-20
0.2.1Latest
record
2026-10-20 · current release · diff ↗ ·
11 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-20 01:24 to 2026-10-20 12:27 UTC, in 3 readings.
archivedRemoved from CRAN
2026-06-29
policy violation On Internet access
R
R 4.6.0 released · 2026-04-24
0.1.4
record
2025-09-11 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.3
record
2024-11-30 · diff ↗ ·
added 1 export
get_census
0.1.2
record
2024-11-08
R
R 4.4.0 released · 2024-04-24

Across CRAN, the median accepted release of the past year spent 22 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2024-11-08
Total releases: 4 / 2 yrs
License: MIT + file LICENSE OSI
Download size: 2.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ineAtlas")

Format

García Guzmán, P. (2026). ineAtlas: Access to Spanish Household Income Distribution Atlas Data (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ineAtlas

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 ineAtlas version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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