Package: GWlasso 1.0.1

Matthieu Mulot

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>.

Authors:Matthieu Mulot [aut, cre, cph], Sophie Erb [aut]

GWlasso_1.0.1.tar.gz
GWlasso_1.0.1.tar.gz(r-4.5-noble)GWlasso_1.0.1.tar.gz(r-4.4-noble)
GWlasso_1.0.1.tgz(r-4.4-emscripten)GWlasso_1.0.1.tgz(r-4.3-emscripten)
GWlasso.pdf |GWlasso.html✨
GWlasso/json (API)
NEWS

# Install 'GWlasso' in R:

install.packages('GWlasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nibortolum/gwlasso/issues

Datasets:

Amesbury - Amesbury Testate Amoebae dataset

2.70 score 5 scripts 5 exports 80 dependencies

Last updated 1 days agofrom:eb81ae9a6a. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 23 2024
R-4.5-linux	OK	Nov 23 2024

Exports:%>%compute_distance_matrix gwl_bw_estimation gwl_fit plot_gwl_map

Dependencies:boot class classInt cli coda codetools colorspace cpp11 crayon DBI deldir DEoptimR dplyr e1071 fansi farver FNN foreach generics ggplot2 ggside glmnet glue gtable GWmodel hms intervals isoband iterators KernSmooth labeling lattice LearnBayes lifecycle magrittr MASS Matrix mgcv multcomp munsell mvtnorm nlme pillar pkgconfig prettyunits progress proxy purrr R6 RColorBrewer Rcpp RcppArmadillo RcppEigen rlang robustbase s2 sandwich scales sf shape sp spacetime spatialreg spData spdep stringi stringr survival TH.data tibble tidyr tidyselect units utf8 vctrs viridisLite withr wk xts zoo

Example analysis

Rendered fromexample_analysis.Rmdusingknitr::rmarkdownon Nov 23 2024.

Last update: 2024-11-22
Started: 2024-11-22

Citation

Readme and manuals

Help Manual

Help page	Topics
Amesbury Testate Amoebae dataset	Amesbury
Compute distance matrix	compute_distance_matrix
Bandwidth estimation for Geographically Weighted Lasso	gwl_bw_estimation
Fit a geographically weighted lasso with the selected bandwidth	gwl_fit
Plot a map of beta coefficient for gwlfit object	plot_gwl_map
Plot method for gwlfit object	plot.gwlfit
Predict method for gwlfit objects	predict.gwlfit
Printing gwlest objects	print.gwlest
Printing gwlfit objects	print.gwlfit