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Statistical Modelling for Infectious Disease Management

0packages depend
7.1Kdownloads / year
97.2%test coverage
13/13flavors OK

Overview

About

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

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

Downloads

7.1K
CRAN downloads in the past year
Rank #8,915 · ~19/day · ~588/mo
Daily download trend is not available in this view yet.
35630 days
1.1K90 days
7.1K1 year
Compare downloads with other packages →
Also on69 r2u6 autocran

Repository

PracticesBeta

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 v4 (2026-10-20)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing smidm adds 18 packages (12 with compiled code, 8.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, vctrs 1.0 MB.

Depends (0)
none
Imports (4)
dplyrextraDistrstatsmethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (8)
Author, Maintainer since 1.0 (2022)
Contributor
Copyright holder
Copyright holder
Listed in earlier versions (1)
Hong Phuc
no longer listed · 1.0
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0Latest
    2022-08-27 · current release
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-27
Total releases
1 / 4 yrs
License
BSD_3_clause + file LICENSE OSI
Download size
168 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("smidm")
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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for smidm version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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