GWlasso

GWlasso-package

Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions. These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) tools:::Rd_expr_doi("10.1007/s10109-018-0280-7").

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Performs geographically weighted Lasso regressions. Find optimal bandwidth, fit a geographically weighted lasso or ridge regression, and make predictions.
These methods are specially well suited for ecological inferences. Bandwidth selection algorithm is from A. Comber and P. Harris (2018) <doi:10.1007/s10109-018-0280-7>.

Matthieu Mulot

Geographically Weighted Lasso

Sophie Erb

GWlasso-package function

Maintainer: Matthieu Mulot <a href="/link/matthieu.mulot%40gmail.com?package=GWlasso&version=1.0.1" data-mini-rdoc="GWlasso::matthieu.mulot@gmail.com">matthieu.mulot@gmail.com</a> (<a href="https://orcid.org/0000-0002-8039-5078">ORCID</a>) [copyright holder]
Authors:<ul>
<li>Sophie Erb (<a href="https://orcid.org/0000-0002-0700-283X">ORCID</a>)</li>
</ul>

Author

GWlasso: Geographically Weighted Lasso — GWlasso-package

Maintainer: Matthieu Mulot <a href='mailto:matthieu.mulot@gmail.com'>matthieu.mulot@gmail.com</a> (<a href='https://orcid.org/0000-0002-8039-5078'>ORCID</a>) [copyright holder]
Authors:<ul>
<li>Sophie Erb (<a href='https://orcid.org/0000-0002-0700-283X'>ORCID</a>)</li>
</ul>

GWlasso-package: GWlasso: Geographically Weighted Lasso

Description

Arguments

Author

See Also