Gaussian.MCMC: Gaussian MCMC

In 2019020826/SDSMCMC: tools::toTitleCase("SDS Epidemic")

Description

This function generates posterior samples of beta, gamma, and rho using MCMC based on Gaussian likelihood in subsection A.2

Usage

Gaussian.MCMC(
  data,
  nrepeat,
  ic = c(k1, k2, k3),
  tun,
  prior.a,
  prior.b,
  Tmax = 100
)

Arguments

data	input data set. SIR trajectory data set
nrepeat	number of iteration of MCMC
ic	initial value of beta, gamma, and rho
tun	tunning constant for proposal distribution of beta, gamma, rho
prior.a	hyper shape parameter of gamma prior for beta, gamma, rho
prior.b	hyper rate parameter of gamma prior for beta, gamma, rho
Tmax	cutoff time of epidemic

Value

returning posterior samples of beta, gamma, rho

2019020826/SDSMCMC documentation built on March 2, 2020, 5:31 a.m.