get.Q

Creates a precision matrix Q, with off diagonal entries
 equal to exp(b1*x_1ij + ... + bp*x_pij), where beta=(b1,b2,...,bp) is
 a vector of log-conductance values of the covariates x_kij. Each
 x_kij is equal to (x_ki+x_kj)/2.

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.Q function

<dl> <dt>TL</dt>
<dd>A transition list from TL.from.stack
</dd> <dt>beta</dt>
<dd>A vector of log-conductance rates with length equal to the
 length of TL.
</dd></dl>

Arguments

Ephraim M. Hanks

Author

Create a precision matrix from a transition list and a set of
  log-conductance rates.
 — get.Q

<dl>

 <dt>TL</dt>
<dd>A transition list from TL.from.stack
</dd>

 <dt>beta</dt>
<dd>A vector of log-conductance rates with length equal to the
 length of TL.
</dd>

</dl>

get.Q: Create a precision matrix from a transition list and a set of log-conductance rates.

Description

Usage

Value

Arguments

Author

References

Examples