GWlasso-package: GWlasso: Geographically Weighted Lasso
In GWlasso: Geographically Weighted Lasso
GWlasso-package R Documentation
GWlasso: Geographically Weighted Lasso
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10109-018-0280-7")}.
Author(s)
Maintainer: Matthieu Mulot matthieu.mulot@gmail.com (ORCID) [copyright holder]
Authors:
Sophie Erb (ORCID)
See Also
Useful links:
GWlasso documentation built on April 3, 2025, 7:08 p.m.
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| GWlasso-package | R Documentation |
GWlasso: Geographically Weighted Lasso
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10109-018-0280-7")}.
Author(s)
Maintainer: Matthieu Mulot matthieu.mulot@gmail.com (ORCID) [copyright holder]
Authors:
Sophie Erb (ORCID)
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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