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GWlasso: Geographically Weighted Lasso
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>.
Getting started
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Package details |
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| Author | Matthieu Mulot [aut, cre, cph] (<https://orcid.org/0000-0002-8039-5078>), Sophie Erb [aut] (<https://orcid.org/0000-0002-0700-283X>) |
| Maintainer | Matthieu Mulot <matthieu.mulot@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| URL | https://github.com/nibortolum/GWlasso https://nibortolum.github.io/GWlasso/ |
| Package repository | View on CRAN |
| Installation |
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