spm_smooth_methods

<p>Currently, only one smoothing method is supported:
* <code>"ICAR"</code>: Intrinsic Conditional Auto-Regressive models.
* <code>"LINPRED"</code>: LINear PREDictors (lag smooths).</p>

Implement a GAM-based (Generalized Additive Models) spatial surplus
production model (spatial SPM), aimed at modeling northern shrimp population
in Atlantic Canada but potentially to any stock in any location. The package
is opinionated in its implementation of SPMs as it internally makes the choice
to use penalized spatial gams with time lags. However, it also aims to provide
options for the user to customize their model. The methods are described in
Pedersen et al. (2022, <https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2022/2022_062-eng.html>).

Valentin Lucet

sspm

spm_smooth_methods: Get the list of available smoothing methods

Description

Usage

Arguments

Value