CRAN/E | smidm

smidm

Statistical Modelling for Infectious Disease Management

Installation

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.

gitlab.cc-asp.fraunhofer.de/ester/smidm
Bug report File report

Key Metrics

Version 1.0
Published 2022-08-27 614 days ago
Needs compilation? no
License BSD_3_clause
License File
CRAN checks smidm results

Downloads

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Maintainer

Maintainer

Sonja Jäckle

sonja.jaeckle@mevis.fraunhofer.de

Authors

Max Westphal

aut

Stefanie Grimm

aut

Sonja Jäckle

aut / cre

Rieke Alpers

aut

Hong Phuc Truong

aut

Amelie Lucker

ctb

Fraunhofer MEVIS

cph

Fraunhofer ITWM

cph

Material

README
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

dplyr
extraDistr
stats
methods

Suggests

testthat ≥ 3.0.0
covr
xml2
knitr
rmarkdown
tidyr
hdrcde
ggplot2
scales