InitialValueContainer: Create an InitialValueContainer object, which catalogues the...

In grantbrown/ABSEIR: Posterior Approximation to Fully Bayesian Spatial SEIR Models Using Multithreaded C++

Description

Create an InitialValueContainer object, which catalogues the starting population values for an epidemic.

Usage

InitialValueContainer(
  S0,
  E0,
  I0,
  R0,
  type = c("identity", "uniform"),
  params = list()
)

Arguments

S0	An integer vector of susceptible counts
E0	An integer vector of exposed counts
I0	An integer vector of infectious counts
R0	AN integer vector of removed counts

Details

While approximate Bayesian techniques avoid the need to specify starting values for the spatiotemporally varying population values (i.e. the current number of susceptible, exposed, infectious, and removed individuals), we still need to specify how many individuals start out in each of these categories. In the future, we may support the specification of priors on these terms, but for now they are considered fixed.

Examples

inits <- InitialValueContainer(c(1000,1000),
                                          c(10,0),
                                          c(0,0),
                                          c(100,100))

grantbrown/ABSEIR documentation built on Oct. 14, 2021, 2:32 p.m.