Description Usage Arguments Value Author(s) References Examples

Given a Gaussian Markov random field defined by a precision matrix Q, this returns Phi, which is the precision matrix of the nodes indexed by 'obs.idx', computed using the Schur complement.

1 | ```
get.Phi(Q, obs.idx)
``` |

`Q` |
A precision matrix |

`obs.idx` |
A vector of unique indices of observed nodes in the graph defined by Q. |

A square matrix of dimension equal to the length of 'obs.idx'.

Ephraim M. Hanks

Hanks and Hooten 2013. Circuit theory and model-based inference for landscape connectivity. Journal of the American Statistical Association. 108(501), 22-33.

1 2 3 4 5 6 |

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