graphpcor-class: Set a graph whose nodes and edges represent variables and...

In graphpcor: Models for Correlation Matrices Based on Graphs

Set a graph whose nodes and edges represent variables and conditional distributions, respectively.

Description

Set a graph whose nodes and edges represent variables and conditional distributions, respectively.

Usage

## S3 method for class 'formula'
graphpcor(...)

## S3 method for class 'matrix'
graphpcor(...)

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

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

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

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

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

## S3 method for class 'graphpcor'
Laplacian(graph)

## S4 method for signature 'graphpcor'
chol(x, ...)

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

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

Arguments

...	list of formula used to define the edges.
x	a graphpcor object
object	graphpcor object
which	not used
y	graphpcor
graph	graphpcor object, see graphpcor.
model	graphpcor model object

Details

The terms in the formula do represent the nodes. The ~ is taken as link.

Methods (by generic)

• edges(graphpcor): Extract the edges of a graphcor to be used for plot

• plot(x = graphpcor, y = ANY): The plot method for graphpcor

• chol(graphpcor): Build the unite diagonal lower triangle matrix

• vcov(graphpcor): The vcov method for a graphpcor

Functions

• graphpcor(formula): A graphpcor is a graph where a node represents a variable and an edge a conditional distribution.

• graphpcor(matrix): Build a graphpcor from a matrix

• print(graphpcor): The print method for graphpcor

• summary(graphpcor): The summary method for graphpcor

• dim(graphpcor): The dim method for graphpcor

• Laplacian(graphpcor): The Laplacian method for a graphpcor

• prec(graphpcor): The precision method for 'graphpcor'

Examples

g1 <- graphpcor(x ~ y, y ~ v, v ~ z, z ~ x)
g1
summary(g1)
plot(g1)
prec(g1)

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