Description Usage Arguments Details Value References See Also

View source: R/main_function.R

Fit a Gaussian Graphical Model or a Gaussian Bayesian Network by maximum likelihood.

1 | ```
fitSgraph(graph, S)
``` |

`graph` |
A directed or undirected graph represented as a graphNEL object. |

`S` |
A sample covariance matrix |

If graph is undirected it uses the Iterative Proprotional Fitting algoritm (qpgraph package). If graph is directed it uses Iterative Conditional Fitting (ggm package).

A covariance matrix with the independence constraints entailed by the graph.

Drton, M. & Richardson, T. S. (2003). A new algorithm for maximum likelihood estimation in Gaussian graphical models for marginal independence. Proceedings of the Ninetheen Conference on Uncertainty in Artificial Intelligence, 184-191.

Whittaker, J. Graphical models in applied multivariate statistics. Wiley, 1990.

simPATHy documentation built on Nov. 23, 2021, 5:07 p.m.

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