get.Phi

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.

Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.

Ephraim Hanks

Random Walk Covariance Models

get.Phi function

<dl> <dt>Q</dt>
<dd>A precision matrix
</dd> <dt>obs.idx</dt>
<dd>A vector of unique indices of observed nodes in the
 graph defined by Q. 
</dd></dl>

Arguments

Ephraim M. Hanks

Author

Compute the precision matrix Phi of observed nodes on a graph.
 — get.Phi

<dl>

 <dt>Q</dt>
<dd>A precision matrix
</dd>

 <dt>obs.idx</dt>
<dd>A vector of unique indices of observed nodes in the
 graph defined by Q. 
</dd>

</dl>

get.Phi: Compute the precision matrix Phi of observed nodes on a graph.

Description

Usage

Value

Arguments

Author

References

Examples