compute_BGe_score: Compute Bayesian Gaussian equivalent (BGe) score for a given...
In igbucur/BFCS: Bayes Factors for Covariance Structures

Description Usage Arguments Details Value

Compute Bayesian Gaussian equivalent (BGe) score for a given Bayesian network on given sufficient statistics from data.

1	compute_BGe_score(N, means, covmat, parents, alpha_w, nu_vec, alpha_mu = 1)

`N`	Integer number of observations.
`means`	Numeric vector containing variable means.
`covmat`	Numeric covariance matrix.
`parents`	List of parents for each node to describe Bayesian network.
`alpha_w`	Numeric parameter of the covariance's Wishart prior (scale matrix).
`nu_vec`	Numeric parameter of the covariance's Wishart prior (degrees of freedom)
`alpha_mu`	Numeric parameter of the mean's Gaussian prior (expected value).

For a better understanding of how the BGe score is obtained see the article [Geiger and Heckerman (2002)](https://projecteuclid.org/euclid.aos/1035844981) as well as the discussion in [Kuipers et al. (2014)](https://projecteuclid.org/euclid.aos/1407420013).

Bayesian Gaussian equivalent (BGe) score for given data on the given Bayesian network.

igbucur/BFCS documentation built on Oct. 20, 2020, 7:39 a.m.