simBNFromCovMat: Simulate a Bayesian network from a covariance matrix

Description Usage Arguments Value See Also

View source: R/simulation.R

Description

Given a covariance matrix, simulates a fully parameterized Guassian Bayesian network consistent with the covariance matrix.

Usage

1
simBNFromCovMat(cov.mat)

Arguments

cov.mat

A positive definate matrix.

Value

An object of class bn.fit. If no consistend extention is found, NULL is returned.

See Also

simGaussianNet, simBNFromCovMat, simDAGFromCovMat, simNetCovariance, simMVNData, randomNet, simSparsePrecision, simDAGFromCovMat


robertness/gmsim documentation built on May 25, 2017, 5:21 a.m.