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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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling source/ R- GWlasso_1.0.2.tar.gz 66.1 KiB
1.0.2 rolling linux/jammy R-4.5 GWlasso_1.0.2.tar.gz 103.0 KiB
1.0.2 rolling linux/noble R-4.5 GWlasso_1.0.2.tar.gz 102.8 KiB
1.0.2 latest source/ R- GWlasso_1.0.2.tar.gz 66.1 KiB
1.0.2 latest linux/jammy R-4.5 GWlasso_1.0.2.tar.gz 103.0 KiB
1.0.2 latest linux/noble R-4.5 GWlasso_1.0.2.tar.gz 102.8 KiB
1.0.2 2026-04-23 source/ R- GWlasso_1.0.2.tar.gz 66.1 KiB
1.0.2 2026-04-09 windows/windows R-4.5 GWlasso_1.0.2.zip 112.9 KiB
1.0.1 2025-04-20 source/ R- GWlasso_1.0.1.tar.gz 65.7 KiB

Dependencies (latest)

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