Description Usage Arguments Details Value
This function plots the ILI/ARI rates stored in a FluHMM object, superimposing the model results.
1 2 3 4 5 |
x |
An object of class ‘FluHMM’ to be plotted. |
xlab |
Label for the x-axis. |
ylab |
Label for the y-axis. |
main |
Main label of the plot. |
xaxis |
How to annotate the x-axis of the plot. If |
showPs |
If |
cexPs |
Character expansion factor (cex), i.e. size for plotting the posterior probabilities |
yexpand |
Factor (as a percentage of the original y-axis size) to expand the y-axis, so that the numbers of the posterior probabilities do not overlap with the rest of the plot. |
col |
Color for plotting the weekly ILI/ARI rates |
mucol |
Color for plotting the fitted weekly mean rates. |
hues |
A numeric vector of length 5, with values between 0 and 1, containing the hue values for each of the five phases in the model. |
rainbow |
If |
ci |
If |
alpha |
Alpha transparency value for the confidence bands (a number between 0 and 1). |
This function plots the ILI/ARI rates with the week number on the x-axis. If the FluHMM
object has a seasonRates
element, this is plotted as a thin grey line and the rates
are overlaid as a thick line with points, of color col
.
The posterior probabilities of the five epidemic phases per week (pre-epidemic, epidemic growth,
epidemic plateau, epidemic decline and post-epidemic) are displayed with colored bars on the top
of the plot and optionally as a vertical stack of numbers (if showPs=TRUE
). The hue of
each phase in the color representation is given in the hues
argument, and the saturation
is dependent on the posterior probability of each phase. If the vertical space of the plot is
insufficient (especially if showPs=TRUE
), expand it as necessary by increasing the
yexpand
argument.
The mean weekly rates fitted by the model is plotted as a thick dotted line. If rainbow=TRUE
,
the mean rates for each MCMC chain are plotted individually as well. These should be very close to
each other; if very different, then the chains have probably not converged enough.
In any case, if full convergence (for all model parameters) has not been reached, a clear warning will be displayed at the bottom left margin of the plot.
None
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