logLik.tinyVAST

Extract the (marginal) log-likelihood of a tinyVAST model

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

logLik.tinyVAST function

<dl><dt>object</dt>
<dd>output from <code>tinyVAST</code></dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Extract the (marginal) log-likelihood of a tinyVAST model — logLik.tinyVAST

<dl>

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


<dt>...</dt>
<dd>not used</dd>

</dl>

logLik.tinyVAST: Extract the (marginal) log-likelihood of a tinyVAST model

Description

Usage

Value

Arguments