R Observatory: Metrics for infectiousR version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

infectiousR

0.1.1Package record

Access Infectious and Epidemiological Data via 'disease.sh API'

0packages depend

15.2Kdownloads / year

68.3%test coverage

13/13flavors OK

Overview

About

Maintained by Renzo Caceres RossiCRAN page ↗GitHub ↗Website ↗Issues ↗

Provides functions to access real-time infectious disease data from the 'disease.sh API', including COVID-19 global, US states, continent, and country statistics, vaccination coverage, influenza-like illness data from the Centers for Disease Control and Prevention (CDC), and more. Also includes curated datasets on a variety of infectious diseases such as influenza, measles, dengue, Ebola, tuberculosis, meningitis, AIDS, and others. The package supports epidemiological research and data analysis by combining API access with high-quality historical and survey datasets on infectious diseases. For more details on the 'disease.sh API', see https://disease.sh/.

Changes in 0.1.1

Bug Fixes

Fixed graceful failure handling for all API functions when internet is unavailable
Functions now use message() instead of warning() for connection errors
Added timeout (10 seconds) to all API requests to prevent hanging
Improved error messages to be more informative for users
All functions now return NULL gracefully when API is unavailable
Updated documentation to reflect graceful failure behavior
Changed examples from \donttest{} to \dontrun{} for better CRAN compliance

CRAN Compliance

Package now complies with CRAN policy: "Packages which use Internet resources should fail gracefully with an informative message if the resource is not available"

From NEWS.md in the release

Install

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

install.packages("infectiousR", 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("lightbluetitan/infectiousr")

Development version from lightbluetitan/infectiousr. 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-infectiousr

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-infectiousR

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-infectiousR

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: 1.7 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-13
ERROR12 OK, 1 ERROR2026-08-06
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-21

Show 4 earlier changesHide 4 earlier changes

ERROR13 OK, 1 ERROR2026-04-19
OK14 OK2026-04-13
ERROR13 OK, 1 ERROR2026-03-30
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.1

READMEYes · 352 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.1Citation fileYes · software entry onlyWebsiteYes · pkgdown

Help pages: 47includes a package overview page
Examples that run: 13%1 run in a plain check (under a condition) · 7 never run
Exported functions with examples: 17%
Documented parameters: 10%
Return-value docs: 17%
Help pages citing references: 15%

Vignettes (1)

infectiousR: Access Infectious and Epidemiological Data via disease.sh API HTML

How these are measured

Downloads

15.2K

CRAN downloads in the past year

Rank #2,535 · ~42/day · ~1.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.6K30 days

6.3K90 days

15.2K1 year

Compare downloads with other packages →

Also on84 r2u7 autocran

How downloads are counted

Repository

lightbluetitan/infectiousr ↗Account: lightbluetitan

8Stars

0Forks

0Open issues

0Open PRs

0Releases

3Commits

1Commit identities

3 commits · Last activity 2025-11-09 · 0% stars, 30d · Default branch at 0.1.2, ahead of CRAN 0.1.1 (checked 2026-10-22)

Responsiveness

not measured

Stars over time

2025-09-17 · 52026-07-07 · 8

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/lightbluetitan/infectiousr on 2026-10-22.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-11-09

pkgdown site last built 2025-11-09

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Installing infectiousR adds 12 packages (8 with compiled code, 3.9 MB of source tarballs). Heaviest: openssl 1.1 MB, jsonlite 1.0 MB, curl 714 KB.

Depends (1)

R >= 4.1.0

Imports (4)

utilshttr jsonlite lubridate

LinkingTo (0)

none

Suggests (5)

dplyr ggplot2 testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Renzo Caceres Rossi

Author, Maintainer since 0.1.0 (2025)

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
record
2025-11-09 · current release · diff ↗
0.1.0
record
2025-06-16
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-06-16
Total releases: 2 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
Bundled data: 103 KB / 38 files
Download size: 256 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("infectiousR")

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

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 infectiousR version 0.1.1 [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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