modelFormula: Model's formula

In gRapHD: Efficient Selection of Undirected Graphical Models for High-Dimensional Datasets

Description

Returns the formula of the model.

Usage

modelFormula(model)

Arguments

model

gRapHD class.

Details

See Lauritzen (1996), pages 202-203, and 215-216 for more details.

Value

List with the generators of the model:

discrete	terms (d,\emptyset)
linear	terms (d,γ^2)
quadratic	terms (d,γ) and (d,\{γ,μ\})
quadratic2	terms (d,c^2)

Author(s)

Gabriel Coelho Goncalves de Abreu ([e-mail])

References

Lauritzen, S.L. (1996) Graphical Models, Oxford University Press.

Examples

data(dsMixed)
m <- minForest(dsMixed,homog=TRUE,stat="LR")
modelFormula(m)
# str(modelFormula(m))
#List of 4
# $ discrete  :List of 4
#  ..$ : int [1:2] 1 3
#  ..$ : int [1:2] 3 4
#  ..$ : int [1:2] 3 5
#  ..$ : int [1:2] 5 2
# $ linear    : list()
# $ quadratic :List of 5
#  ..$ : num [1:2] 5 8
#  ..$ : num [1:2] 5 9
#  ..$ : num [1:2] 4 11
#  ..$ : num [1:2] 5 14
#  ..$ : num [1:2] 2 15
# $ quadratic2:List of 6
#  ..$ : num [1:2] 6 11
#  ..$ : num [1:2] 7 8
#  ..$ : num [1:2] 9 10
#  ..$ : num [1:2] 9 13
#  ..$ : num [1:2] 12 15
#  ..$ : num 14

m <- minForest(dsMixed,homog=FALSE,stat="LR")
str(modelFormula(m))
#List of 4
# $ discrete  :List of 4
#  ..$ : int [1:2] 1 3
#  ..$ : int [1:2] 3 4
#  ..$ : int [1:2] 3 5
#  ..$ : int [1:2] 5 2
# $ linear    :List of 10
#  ..$ : num [1:2] 2 6
#  ..$ : num [1:2] 5 7
#  ..$ : num [1:2] 5 8
#  ..$ : num [1:2] 5 9
#  ..$ : num [1:2] 5 10
#  ..$ : num [1:2] 2 11
#  ..$ : num [1:2] 3 12
#  ..$ : num [1:2] 2 13
#  ..$ : num [1:2] 5 14
#  ..$ : num [1:2] 2 15
# $ quadratic : list()
# $ quadratic2: list()

gRapHD documentation built on Feb. 9, 2018, 6:05 a.m.