simInit: Sample from initial distributions
In vnminin/bayessir: Particle marginal Metropolis-Hastings (PMMH) algorithm for time-varying Susceptible-Infectious-Recovered-Susceptible (SIRS) model
Description
Usage
Arguments
Value
Description
Simulates the initial number of susceptible and infected individuals from independent Poisson initial distributions.
Usage
1
simInit(n, startState)
Arguments
n
Number of particles
startState
Numeric vector of size two containing the means of initial distributions for the numbers of susceptible and infected individuals respectively
Value
Matrix of dimension n by 2, where each row is the initial state for a particle trajectory
vnminin/bayessir documentation built on May 3, 2019, 6:17 p.m.
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Description Usage Arguments Value
Description
Simulates the initial number of susceptible and infected individuals from independent Poisson initial distributions.
Usage
1 | simInit(n, startState)
|
Arguments
n |
Number of particles |
startState |
Numeric vector of size two containing the means of initial distributions for the numbers of susceptible and infected individuals respectively |
Value
Matrix of dimension n by 2, where each row is the initial state for a particle trajectory
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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