treepcor-class: Set a tree whose nodes represent the two kind of variables:...

In graphpcor: Models for Correlation Matrices Based on Graphs

Set a tree whose nodes represent the two kind of variables: children and parent.

Description

Set a tree whose nodes represent the two kind of variables: children and parent.

Usage

## S3 method for class 'treepcor'
print(x, ...)

## S3 method for class 'treepcor'
summary(object, ...)

## S3 method for class 'treepcor'
dim(x, ...)

## S4 method for signature 'treepcor'
drop1(object)

## S4 method for signature 'treepcor'
edges(object, which, ...)

## S4 method for signature 'treepcor,ANY'
plot(x, y, ...)

## S3 method for class 'treepcor'
prec(model, ...)

etreepcor2precision(d.el)

## S4 method for signature 'treepcor'
vcov(object, ...)

etreepcor2variance(d.el)

Arguments

x	treepcor object
...	usde to pass theta as a numeric vector with the model parameters
object	treepcor
which	not used (TO DO: )
y	not used
model	treepcor
d.el	list of the first n edges of a treepcor.

Methods (by generic)

• 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

Functions

• 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.

graphpcor documentation built on June 8, 2025, 10:37 a.m.