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SIRmcmc
View on CRAN: Click
here
Download and install SIRmcmc package within the R console
Install from CRAN:
install.packages("SIRmcmc")
Install from Github:
library("remotes")
install_github("cran/SIRmcmc") Install by package version:
library("remotes")
install_version("SIRmcmc", "1.1.1") Attach the package and use:
library("SIRmcmc")
Maintained by
F Scott Dahlgren
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-23
Latest Update: 2024-01-11
Description:
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>.
How to cite:
F Scott Dahlgren (2021). SIRmcmc: Compartmental Susceptible-Infectious-Recovered (SIR) Model of Community and Household Infection. R package version 1.1.1, https://cran.r-project.org/web/packages/SIRmcmc. Accessed 03 Jul. 2026.
Previous versions and publish date:
1.1 (2021-11-23 09:10)
Other packages that cited SIRmcmc R package
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Other R packages that SIRmcmc depends,
imports, suggests or enhances
Complete documentation for SIRmcmc
Functions, R codes and Examples using
the SIRmcmc R package
Some associated functions: MCMC.date . community.attack.rate . hh.transmission.epsilon . hh.transmission . household.transmission . prior . secondary.attack.rate . unifprior .
Some associated R codes: MCMC.functions.R . RcppExports.R . Full SIRmcmc package functions and examples
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