calc_sigma_cpp

<p>a topological ordering of the nodes as a vector of strings</p>

order

<p>Calculate the sigma covariance matrix of a Gaussian linear network. 
This is the C++ backend of the function.</p>

Learning and inference over dynamic Bayesian networks of arbitrary
Markovian order. Extends some of the functionality offered by the 'bnlearn'
package to learn the networks from data and perform exact inference.
It offers three structure learning algorithms for dynamic Bayesian networks
and the possibility to perform forecasts of arbitrary length. A tool for
visualizing the structure of the net is also provided via the 'visNetwork'
package.

David Quesada

calc_sigma_cpp: Calculate the sigma covariance matrix of a Gaussian linear network. This is the C++ backend of the function.

Description

Usage

Arguments

Value