bmonomvn,
particularly the posterior standard deviation estimates of the mean
vector and covariance matrix, and samples from the solution to a
Quadratic Program## S3 method for class 'monomvn':
plot(x, which=c("mu", "S", "Snz", "Sinz", "QP"),
xaxis=c("numna", "index"), main=NULL, uselog=FALSE, ...)"monomvn"-class object that must be named x
for generic plotting"mu" for sqrt($mu.var));
the covariance matrix ("S" for sqrt($S.var)),
or "S{i}nz"which = "S" || "S{i}nz") should be displayed. The default option
"numna" shows the (ordered) number of missing entries
(NAs) in the corresponding colNULL causes the automatic generation of a
titleTRUE, causes the log
of the standard deviation to be plotted insteadplot.defaultbmonomvn All types of visualization (specified by which) are presented
in the order of the number of missing entries in the columns of the
data passed as input to bmonomvn.
In the case of which = "mu"
this means that y-values are presented in the order x$o, where
the x-axis is either 1:length(x$o) in the case of
xaxis = "index", or x$na[x$o] in the case of xaxis
= "numna". When which = "S" is given the resulting
image plot is likewise ordered by x$o where the
x- and y-axis are as above, except that in the case
where xaxis = "numna" the repeated counts of NAs are
are adjusted by small increments so that x and y arguments to
image are distinct. Since a boxplot is
used when which = "QP" it may be that xaxis = "index"
is preferred
bmonomvn, print.monomvn,
summary.monomvn