Summarizing, printing, and plotting the contents of a
"monomvn"-class object
# S3 method for monomvn
summary(object, Si = FALSE, ...)
# S3 method for summary.monomvn
print(x, ...)
# S3 method for summary.monomvn
plot(x, gt0 = FALSE, main = NULL,
xlab = "number of zeros", ...)a "monomvn"-class object that must be named
object for the generic methods summary.monomvn
a "monomvn"-class object that must be named x
for generic printing and plotting via
print.summary.monomvn and
plot.summary.monomvn
boolean indicating whether object$S should be
inverted and inspected for zeros within
summary.monomvn, indicating pairwise independence;
default is FALSE
boolean indicating whether the histograms in
plot.summary.monomvn should exclude columns
of object$S or Si without any zero entries
optional text to be added to the main title of the histograms
produced by the generic plot.summary.monomvn
label for the x-axes of the histograms produced by
plot.summary.monomvn; otherwise default
automatically-generated text is used
passed to print.monomvn, or
plot.default
summary.monomvn returns a
"summary.monomvn"-class object, which is a list
containing (a subset of) the items below. The other
functions do not return values.
the "monomvn"-class object
the proportion of zeros in object$S
a vector containing the number of zeros in each column
of object$S
if input Si = TRUE this field contains the
proportion of zeros in the inverse of object$S
if input Si = TRUE this field contains a
vector with the number of zeros in each column of the inverse
of object$S
These functions work on the output from both monomvn
and bmonomvn.
print.monomvn prints the call followed by a
summary of the regression method used at each iteration of the
algorithm. It also indicates how many completely observed features
(columns) there were in the data.
For non-least-squares regressions (i.e., plsr, lars
and lm.ridge methods)
and indication of the method used for selecting the
number of components (i.e., CV, LOO, etc., or
none) is provided
summary.monomvn summarizes information about the
number of zeros in the estimated covariance matrix object$S
and its inverse
print.summary.monomvn calls print.monomvn
on the object and then prints the result of
summary.monomvn
plot.summary.monomvn makes histograms of the number of
zeros in the columns of object$S and its inverse