reload_model

<code>reload_model</code> allows a user to save a fitted model, reload it in a new
R terminal, and then relink the DLLs so that it functions as expected.

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

reload_model function

<dl><dt>x</dt>
<dd>Output from <code>tinyVAST</code>, potentially with DLLs not linked</dd>
<dt>check_gradient</dt>
<dd>Whether to check the gradients of the reloaded model</dd></dl>

Arguments

Reload a previously fitted model — reload_model

<dl>

<dt>x</dt>
<dd>Output from <code>tinyVAST</code>, potentially with DLLs not linked</dd>


<dt>check_gradient</dt>
<dd>Whether to check the gradients of the reloaded model</dd>

</dl>

reload_model: Reload a previously fitted model

Description

Usage

Value

Arguments