sim.chordal | R Documentation |
Simulates a chordal network based on number of nodes. Data will also be simulated based on the true network structure
sim.chordal( nodes, inverse = c("cases", "matrix"), n = NULL, ordinal = FALSE, ordLevels = NULL, idio = NULL, eps = NULL )
nodes |
Numeric. Number of nodes in the simulated network |
inverse |
Character. Method to produce inverse covariance matrix.
|
n |
Numeric. Number of cases in the simulated dataset |
ordinal |
Boolean.
Should simulated continuous data be converted to ordinal?
Defaults to |
ordLevels |
Numeric.
If |
idio |
Numeric.
DESCRIPTION.
Defaults to |
eps |
Numeric.
DESCRIPTION.
Defaults to |
Returns a list containing:
cliques |
The cliques in the network |
separators |
The separators in the network |
inverse |
Simulated inverse covariance matrix of the network |
data |
Simulated data from sim.correlation in the |
Guido Previde Massara <gprevide@gmail.com>
Massara, G. P. & Aste, T. (2019). Learning clique forests. ArXiv.
#Continuous data sim.Norm <- sim.chordal(nodes = 20, inverse = "cases", n = 1000) #Ordinal data sim.Likert <- sim.chordal(nodes = 20, inverse = "cases", n = 1000, ordinal = TRUE) #Dichotomous data sim.Binary <- sim.chordal(nodes = 20, inverse = "cases", n = 1000, ordinal = TRUE, ordLevels = 5)
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