corimageplot plots the model-implied correlation matrices
for one or several points in time.
corimageplot(
x,
these = seq_len(nrow(x$y)),
order = "original",
these4order = these,
plotdatedist = 0,
plotCI = "n",
date.cex = 1.5,
col = NULL,
fsvsimobj = NULL,
plottype = "corrplot",
...
)Returns x invisibly.
Object of class 'fsvdraws', usually resulting from a call
to fsvsample.
Index vector containing the time points to plot. Defaults
to seq_len(nrow(x$y)).
String, where 'none' and 'original'
indicate not to mess
with the series ordering. Other keywords
(e.g. 'hclust') will be forwarded to
corrMatOrder.
Index vector containing the time points used for
ordering. Probably, the default (these) is what you want.
Numerical value indicating where the dates should be plotted.
String. If not equal to 'n', posterior credible regions are
added (posterior mean +/- 2 posterior sd). Ignored if plottype is
"imageplot".
Size multiplier for the dates.
Color palette or NULL (the default).
To indicate data generating values in case of simulated
data, pass an object of type fsvsim (usually the result of a
call to fsvsim).
Indicates which type of plot should be drawn. Can be
"corrplot" for corrplot (recommended for up to around
20 series), or "imageplot" for a simpler image plot.
Additional parameters will be passed on to
corrplot. Ignored if plottype is
"imageplot".
Other plotting:
comtimeplot(),
corplot(),
cortimeplot(),
evdiag(),
facloadcredplot(),
facloaddensplot(),
facloadpairplot(),
facloadpointplot(),
facloadtraceplot(),
logvartimeplot(),
paratraceplot(),
plot.fsvdraws(),
plotalot(),
voltimeplot()