get.covariance: Covariance and precision matrices
In itsrainingdata/sparsebnUtils: Utilities for Learning Sparse Bayesian Networks

Description Usage Arguments Details Value

Methods for computing covariance and precision matrices given an estimated directed graph.

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get.covariance(x, data, ...)

get.precision(x, data, ...)

`x`	fitted `sparsebnFit` or `sparsebnPath` object.
`data`	data as `sparsebnData` object.
`...`	(optional) additional parameters

For Gaussian data, the precision matrix corresponds to an undirected graphical model for the distribution. This undirected graph can be tied to the corresponding directed graphical model; see Sections 2.1 and 2.2 (equation (6)) of Aragam and Zhou (2015) for more details.

Covariance (or precision) matrix as Matrix object.

itsrainingdata/sparsebnUtils documentation built on June 5, 2019, 5:43 p.m.