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>).
Version: 1.0.3 Depends: sf, mgcv, R (≥ 3.5.0) Imports: stats, methods, units, checkmate, cli, tibble, magrittr, tidyr, dplyr, purrr, stringr, rlang Suggests: testthat (≥ 3.0.0), covr, ggplot2, ggforce, lwgeom, tweedie, sfdct, knitr, rmarkdown Published: 2025-02-12 DOI: 10.32614/CRAN.package.sspm Author: Valentin Lucet [aut, cre, cph], Eric Pedersen [aut] Maintainer: Valentin Lucet <valentin.lucet at gmail.com> BugReports: https://github.com/pedersen-fisheries-lab/sspm/issues License: MIT + file LICENSE URL: https://pedersen-fisheries-lab.github.io/sspm/ NeedsCompilation: no Materials: README NEWS CRAN checks: sspm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=sspm to link to this page.
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