Package: SIRmcmc 1.1.1

F Scott Dahlgren

SIRmcmc: Compartmental Susceptible-Infectious-Recovered (SIR) Model of Community and Household Infection

We build an Susceptible-Infectious-Recovered (SIR) model where the rate of infection is the sum of the household rate and the community rate. We estimate the posterior distribution of the parameters using the Metropolis algorithm. Further details may be found in: F Scott Dahlgren, Ivo M Foppa, Melissa S Stockwell, Celibell Y Vargas, Philip LaRussa, Carrie Reed (2021) "Household transmission of influenza A and B within a prospective cohort during the 2013-2014 and 2014-2015 seasons" <doi:10.1002/sim.9181>.

Authors:F Scott Dahlgren and Ivo M Foppa

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SIRmcmc/json (API)

# Install 'SIRmcmc' in R:
install.packages('SIRmcmc', repos = 'https://cloud.r-project.org')
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 189 downloads 6 exports 1 dependencies

Last updated 1 years agofrom:3b5bc0a419. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-linux-x86_64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025

Exports:community_attack_ratehousehold_transmissionMCMC_datepriorsecondary_attack_rateunifprior

Dependencies:Rcpp

Citation

F. Scott Dahlgren, Ivo M. Foppa, Melissa S. Stockwell, Celibell Y. Vargas, Philip LaRussa, Carrie Reed (2021). “Household transmission of influenza A and B within a prospective cohort during the 2013-2014 and 2014-2015 seasons.” Statistics in Medicine, 40, 6260-6276. http://dx.doi.org/10.1002/sim.9181.

Corresponding BibTeX entry: 

  @Article{,
    title = {Household transmission of influenza A and B within a
      prospective cohort during the 2013-2014 and 2014-2015 seasons},
    author = {{F. Scott Dahlgren} and {Ivo M. Foppa} and {Melissa S.
      Stockwell} and {Celibell Y. Vargas} and {Philip LaRussa} and
      {Carrie Reed}},
    year = {2021},
    journal = {Statistics in Medicine},
    volume = {40},
    issue = {28},
    pages = {6260-6276},
    url = {http://dx.doi.org/10.1002/sim.9181},
  }