| Laplacian.graphpcor | R Documentation |
A graphpcor is a graph where
a node represents a variable and an edge
represent a conditional distribution.
The correlation built from a graphpcor consider
the parameters for the Cholesky of a precision matrix,
whose non-zero pattern is given from the graph.
## S3 method for class 'graphpcor'
Laplacian(x)
graphpcor(...)
## S3 method for class 'list'
graphpcor(...)
## S3 method for class 'formula'
graphpcor(...)
## S3 method for class 'character'
graphpcor(...)
## S3 method for class 'matrix'
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, ...)
## S3 method for class 'graphpcor'
plot(x, y, ...)
## S3 method for class 'graphpcor'
vcov(object, ...)
## S3 method for class 'graphpcor'
prec(model, ...)
## S3 method for class 'graphpcor'
cgeneric(model, ...)
## S3 method for class 'Matrix'
cgeneric(model, ...)
x |
graphpcor |
... |
matrix or Matrix (treated as binary) or a vector or list of formula (or character interpreted as formula) |
object |
graphpcor |
y |
not used |
model |
graphpcor model object |
graphpcor(list): Each element may be a character or formula.
graphpcor(formula): Each term represents a node, and each ~ an edge.
graphpcor(character): Each term represents a node, and each ~ an edge.
graphpcor(matrix): Build a graphpcor from a matrix object
graphpcor(Matrix): Build a graphpcor for a Matrix object
Laplacian(graphpcor): The Laplacian method for a graphpcor
print(graphpcor): The print method for graphpcor
summary(graphpcor): The summary method for graphpcor
dim(graphpcor): The dim method for graphpcor
plot(graphpcor): The plot method for a graphpcor
vcov(graphpcor): The vcov method for a graphpcor
prec(graphpcor): The precision method for 'graphpcor'
cgeneric(graphpcor): The cgeneric method for graphpcor uses cgeneric_graphpcor()
cgeneric(Matrix): The cgeneric method for Matrix uses cgeneric_graphpcor()
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