plotMCMC: Plot Posterior Distribution from MCMC Procedure
In predsci/DICE: DICE: Dynamics of Interacting Community Epidemics

Description Usage Arguments Value Examples

plotMCMC Creates a PDF file with plots of the posterior distributions of all the mechanistic model \ parameters the User has chosen to fit and of the AICc score

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plotMCMC(mydata = NULL, tab.model = NULL, tab.fit = NULL,
  tab.cpl = NULL, opt.list = NULL, opt.cpl = NULL, run.list = NULL,
  imask = NULL, ireal = 1, idevice = 1)

`mydata`	A dataframe with all the available data for this DICE run
`tab.model`	The MCMC history of the direct fit of the model data
`tab.cpl`	The MCMC history of the two parameters that help define the coupling matrix: the saturation distance and the distance power.
`opt.list`	A logical list of all the parameters DICE recognizes and can optimize with TRUE/FALSE
`opt.cpl`	A logical list for the two parameters that help define the coupling matrix.
`run.list`	a list with parameters used for the MCMC procedure
`imask`	AN array of integers with +1/-1 values for parameters that are optimized (or not)
`ireal`	- Integer, the MCMC chain number
`tab`	The MCMC history of an indirect fit of the model using a coupled model. This array includes all the parameters except the two that define the coupling matrix.

err=0 if plots were created

1 2	plotMCMC(mydata=mydata, Tg = Tg, tab.model = tab.model, tab.fit= tab.fit, tab.cpl = tab.cpl, opt.list=opt.list, opt.cpl = opt.cpl, run.list = run.list, imask = imask, ireal = ireal)