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smidm
View on CRAN: Click
here
Download and install smidm package within the R console
Install from CRAN:
install.packages("smidm")
Install from Github:
library("remotes")
install_github("cran/smidm")
Install by package version:
library("remotes")
install_version("smidm", "1.0")
Attach the package and use:
library("smidm")
Maintained by
Sonja Jäckle
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.smidm . https://gitlab.cc-asp.fraunhofer.de/ester/smidm/-/issues . https://gitlab.cc-asp.fraunhofer.de/ester/smidm . smidm results . smidm.pdf . smidm_1.0.tar.gz . smidm_1.0.zip . smidm_1.0.zip . smidm_1.0.zip . smidm_1.0.tgz . smidm_1.0.tgz . smidm_1.0.tgz . smidm_1.0.tgz . smidm_1.0.tgz . smidm_1.0.tgz . https://CRAN.R-project.org/package=smidm .
First Published: 2022-08-27
Latest Update: 2022-08-27
Description:
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>.
How to cite:
Sonja Jäckle (2022). smidm: Statistical Modelling for Infectious Disease Management. R package version 1.0, https://cran.r-project.org/web/packages/smidm. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Complete documentation for smidm
Functions, R codes and Examples using
the smidm R package
Some associated functions: calculate_likelihood_negative_tests . calculate_likelihood_negative_tests_k . calculate_posterior_no_infections . calculate_prior_infections . generate_data_extended . get_expected_total_infections . get_incubation_day_distribution . get_infection_density . get_infectiousness_density . get_misc_infection_density . get_serial_interval_density . get_test_sensitivities . p_onePrimaryMore . predict_future_infections .
Some associated R codes: calculate_likelihood_negative_tests.R . calculate_posterior_no_infections.R . calculate_prior_infections.R . get_expected_total_infections.R . get_incubation_day_distribution.R . get_infection_density.R . get_infectiousness_density.R . get_misc_infection_density.R . get_serial_interval_density.R . get_test_sensitivities.R . predict_future_infections.R . utility_functions.R . validation_functions.R . Full smidm package functions and examples
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