pmcmcSeit4lInfoPrior128: Markov-chain Monte Carlo (MCMC) outputs of a fit of the...
In sbfnk/fitR: Tool box for fitting dynamic infectious disease models to time series
pmcmcSeit4lInfoPrior128 R Documentation
Markov-chain Monte Carlo (MCMC) outputs of a fit of the stochastic SEIT4L
model to the influenza outbreak on Tristan da Cunha
Description
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 128 particles to estimate the
likelihood at each MCMC setup. This differs from the 'pMcmcSeitlInfoPrior8'
dataset in the number of particles.
Format
A list with of length 8 with each element containing three elements
describing the MCMC outputs
Details
-
trace data frame containing the MCMC trace
-
acceptanceRate a single value denoting the acceptance rate
-
covmatEmprical the covariance matrix of parameter samples
sbfnk/fitR documentation built on July 18, 2023, 3:28 p.m.
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| pmcmcSeit4lInfoPrior128 | R Documentation |
Markov-chain Monte Carlo (MCMC) outputs of a fit of the stochastic SEIT4L model to the influenza outbreak on Tristan da Cunha
Description
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 128 particles to estimate the likelihood at each MCMC setup. This differs from the 'pMcmcSeitlInfoPrior8' dataset in the number of particles.
Format
A list with of length 8 with each element containing three elements describing the MCMC outputs
Details
-
tracedata frame containing the MCMC trace -
acceptanceRatea single value denoting the acceptance rate -
covmatEmpricalthe covariance matrix of parameter samples
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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