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

SIRmcmc_1.1.1.tar.gz
SIRmcmc_1.1.1.tar.gz(r-4.5-noble)SIRmcmc_1.1.1.tar.gz(r-4.4-noble)
SIRmcmc_1.1.1.tgz(r-4.4-emscripten)SIRmcmc_1.1.1.tgz(r-4.3-emscripten)
SIRmcmc.pdf |SIRmcmc.html
SIRmcmc/json (API)

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

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

cpp

1.00 score 138 downloads 6 exports 1 dependencies

Last updated 1 years agofrom:3b5bc0a419. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 05 2025
R-4.5-linux-x86_64OKFeb 05 2025

Exports:community_attack_ratehousehold_transmissionMCMC_datepriorsecondary_attack_rateunifprior

Dependencies:Rcpp