vcov.tinyVAST

extract the covariance of fixed effects, or both fixed and random effects.

Fits a wide variety of multivariate spatio-temporal models
with simultaneous and lagged interactions among variables (including
vector autoregressive spatio-temporal ('VAST') dynamics)
for areal, continuous, or network spatial domains.
It includes time-variable, space-variable, and space-time-variable
interactions using dynamic structural equation models ('DSEM')
as expressive interface, and the 'mgcv' package to specify splines
via the formula interface. See Thorson et al. (2024)
<doi:10.48550/arXiv.2401.10193> for more details.

James Thorson

tinyVAST

Multivariate Spatio-Temporal Models using Structural Equations

vcov.tinyVAST function

<dl><dt>object</dt>
<dd>output from <code>tinyVAST()</code></dd>
<dt>which</dt>
<dd>whether to extract the covariance among fixed effects, random effects, or both</dd>
<dt>...</dt>
<dd>ignored, for method compatibility</dd></dl>

Arguments

Extract Variance-Covariance Matrix — vcov.tinyVAST

<dl>

<dt>object</dt>
<dd>output from <code>tinyVAST()</code></dd>


<dt>which</dt>
<dd>whether to extract the covariance among fixed effects, random effects, or both</dd>


<dt>...</dt>
<dd>ignored, for method compatibility</dd>

</dl>

vcov.tinyVAST: Extract Variance-Covariance Matrix

Description

Usage

Value

Arguments