LaplaceApproximationThis may be used to plot, or save plots of, the iterated history of
the parameters and, if posterior samples were taken, density plots of
parameters and monitors in an object of class laplace.
# S3 method for laplace
plot(x, Data, PDF=FALSE, Parms, …)This required argument is an object of class laplace.
This required argument must receive the list of data that was
supplied to LaplaceApproximation to create the object
of class laplace.
This logical argument indicates whether or not the user wants Laplace's Demon to save the plots as a .pdf file.
This argument accepts a vector of quoted strings to be matched for
selecting parameters for plotting. This argument defaults to
NULL and selects every parameter for plotting. Each quoted
string is matched to one or more parameter names with the
grep function. For example, if the user specifies
Parms=c("eta", "tau"), and if the parameter names
are beta[1], beta[2], eta[1], eta[2], and tau, then all parameters
will be selected, because the string eta is within
beta. Since grep is used, string matching uses
regular expressions, so beware of meta-characters, though these are
acceptable: ".", "[", and "]".
Additional arguments are unused.
The plots are arranged in a \(2 \times 2\) matrix. The
purpose of the iterated history plots is to show how the value of each
parameter and the deviance changed by iteration as the
LaplaceApproximation attempted to maximize the logarithm
of the unnormalized joint posterior density. If the algorithm
converged, and if sir=TRUE in
LaplaceApproximation, then plots are produced of
selected parameters and all monitored variables.
# NOT RUN {
### See the LaplaceApproximation function for an example.
# }
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