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smidm: Statistical Modelling for Infectious Disease Management

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>.

Version: 1.0
Imports: dplyr, extraDistr, stats, methods
Suggests: testthat (≥ 3.0.0), covr, xml2, knitr, rmarkdown, tidyr, hdrcde, ggplot2, scales
Published: 2022-08-27
DOI: 10.32614/CRAN.package.smidm
Author: Max Westphal ORCID iD [aut], Stefanie Grimm [aut], Sonja Jäckle ORCID iD [aut, cre], Rieke Alpers ORCID iD [aut], Hong Phuc Truong [aut], Amelie Lucker [ctb], Fraunhofer MEVIS [cph], Fraunhofer ITWM [cph]
Maintainer: Sonja Jäckle <sonja.jaeckle at mevis.fraunhofer.de>
BugReports: https://gitlab.cc-asp.fraunhofer.de/ester/smidm/-/issues
License: BSD_3_clause + file LICENSE
URL: https://gitlab.cc-asp.fraunhofer.de/ester/smidm
NeedsCompilation: no
Materials: README
CRAN checks: smidm results

Documentation:

Reference manual: smidm.pdf
Vignettes: Statistical Modelling for Infectious Disease Management - Contacts
Statistical Modelling for Infectious Disease Management - Contagious period
Statistical Modelling for Infectious Disease Management - Prediction of future infections in a group
Statistical Modelling for Infectious Disease Management - Infection period
Statistical Modelling for Infectious Disease Management - Risk assessment group quarantine

Downloads:

Package source: smidm_1.0.tar.gz
Windows binaries: r-devel: smidm_1.0.zip, r-release: smidm_1.0.zip, r-oldrel: smidm_1.0.zip
macOS binaries: r-release (arm64): smidm_1.0.tgz, r-oldrel (arm64): smidm_1.0.tgz, r-release (x86_64): smidm_1.0.tgz, r-oldrel (x86_64): smidm_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=smidm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.