R Observatory: Metrics for smidm version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

smidm

1.0

Statistical Modelling for Infectious Disease Management

0packages depend

7.6Kdownloads / year

97.2%test coverage

13/13checks pass

Overview

About

Maintained by Sonja JäckleFirst published 2022-08-271 releasesCRAN page ↗

Statistical models for specific coronavirus disease 2019 use cases at German local health authorities. All models of Statistical modelling for infectious disease management 'smidm' are part of the decision support toolkit in the 'EsteR' project. More information is published in Sonja Jäckle, Rieke Alpers, Lisa Kühne, Jakob Schumacher, Benjamin Geisler, Max Westphal "'EsteR' – A Digital Toolkit for COVID-19 Decision Support in Local Health Authorities" (2022) doi:10.3233/SHTI220799 and Sonja Jäckle, Elias Röger, Volker Dicken, Benjamin Geisler, Jakob Schumacher, Max Westphal "A Statistical Model to Assess Risk for Supporting COVID-19 Quarantine Decisions" (2021) doi:10.3390/ijerph18179166.

Install

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

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

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

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-smidm

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-smidm

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-smidm

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

Health

CRAN checks

13OK

Slowest check: 1.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.74

97.2%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-06-08
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 333 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

7.6K

CRAN downloads in the past year

Rank #6,283 · ~21/day · ~633/mo

Releases R versions

Daily download trend is not available in this view yet.

18230 days

1.3K90 days

7.6K1 year

Compare downloads with other packages →

Also on99 r2u19 autocran

Repository

Repository ↗ ester/smidm

Repository practices

Upstream repositoryBeta

Repository gitlab.cc-asp.fraunhofer.de/ester/smidm is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

dplyr extraDistrstatsmethods

LinkingTo (0)

none

Suggests (9)

testthat covr xml2 knitr rmarkdown tidyr hdrcde ggplot2 scales

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (8)

Maintainer (1)

Sonja Jäckle

Author, Maintainer

Authors (5)

Author, Maintainer

Author

Author

Author

Author

Contributors (1)

Amelie Lucker

Contributor

Copyright holders (2)

Fraunhofer ITWM

Copyright holder

Fraunhofer MEVIS

Copyright holder

Listed in earlier versions (1)

Hong Phuc

no longer listed · 1.0

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-08-27
Total releases: 1 / 4 yrs
License: BSD_3_clause + file LICENSE OSI
Download size: 168 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("smidm")

Format

Jäckle, S., Fraunhofer ITWM, Fraunhofer MEVIS, Alpers, R., Grimm, S., Lucker, A., Truong, H. P., & Westphal, M. (2022). smidm: Statistical Modelling for Infectious Disease Management (Version 1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.smidm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 smidm version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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