Set a tree whose nodes represent the two kind of variables: children and parent.
# S3 method for treepcor
print(x, ...)# S3 method for treepcor
summary(object, ...)
# S3 method for treepcor
dim(x, ...)
# S4 method for treepcor
drop1(object)
# S4 method for treepcor
edges(object, which, ...)
# S4 method for treepcor,ANY
plot(x, y, ...)
# S3 method for treepcor
prec(model, ...)
etreepcor2precision(d.el)
# S4 method for treepcor
vcov(object, ...)
etreepcor2variance(d.el)
treepcor object
usde to pass theta
as a numeric vector
with the model parameters
treepcor
not used (TO DO: )
not used
treepcor
list of the first n edges of a treepcor
.
drop1(treepcor)
: The drop1
method for a treepcor
edges(treepcor)
: Extract the edges of a treepcor
to be used for plot
plot(x = treepcor, y = ANY)
: The plot
method for a treepcor
vcov(treepcor)
: The vcov
method for a treepcor
print(treepcor)
: The print
method for a treepcor
summary(treepcor)
: The summary
method for a treepcor
dim(treepcor)
: The dim
for a treepcor
prec(treepcor)
: The prec
for a treepcor
etreepcor2precision()
: Internal function to extract elements to
build the precision from the treepcor
edges.
etreepcor2variance()
: Internal function to extract elements to
build the covariance matrix from a treepcor
.