pmcmcSeit4lInfoPrior16 | R Documentation |
A dataset containing the MCMC outputs of a fit of the 'seit4lStoch' model to the 'fluTdc1971' data set with informative priors (8 chains of 3000 iterations each), using a particle filter with 16 particles to estimate the likelihood at each MCMC setup. This differs from the 'pMcmcSeitlInfoPrior128' dataset in the number of particles.
A list with of length 8 with each element containing three elements describing the MCMC outputs
trace
data frame containing the MCMC trace
acceptanceRate
a single value denoting the acceptance rate
covmatEmprical
the covariance matrix of parameter samples
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