Package: GWLelast 1.2.2
GWLelast: Geographically Weighted Logistic Elastic Net Regression
Fit a geographically weighted logistic elastic net regression. Detailed explanations can be found in Yoneoka et al. (2016): New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening <doi:10.1038/srep26582>.
Authors:
GWLelast_1.2.2.tar.gz
GWLelast_1.2.2.zip(r-4.5)GWLelast_1.2.2.zip(r-4.4)GWLelast_1.2.2.zip(r-4.3)
GWLelast_1.2.2.tgz(r-4.4-any)GWLelast_1.2.2.tgz(r-4.3-any)
GWLelast_1.2.2.tar.gz(r-4.5-noble)GWLelast_1.2.2.tar.gz(r-4.4-noble)
GWLelast_1.2.2.tgz(r-4.4-emscripten)GWLelast_1.2.2.tgz(r-4.3-emscripten)
GWLelast.pdf |GWLelast.html✨
GWLelast/json (API)
| # Install 'GWLelast' in R: |
| install.packages('GWLelast', repos = c('https://kingqwert.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:8a8d696b77. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | NOTE | Nov 19 2024 |
| R-4.5-linux | NOTE | Nov 19 2024 |
| R-4.4-win | NOTE | Nov 19 2024 |
| R-4.4-mac | NOTE | Nov 19 2024 |
| R-4.3-win | NOTE | Nov 19 2024 |
| R-4.3-mac | NOTE | Nov 19 2024 |
Exports:GWLelast.cv.bwGWLelast.estGWLelast.innerGWLelast.sel.bw
Dependencies:codetoolsdoParallelforeachgeosphereglmnetiteratorslatticeMatrixRcppRcppEigenshapespspDataspgwrsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GWLelast Geographically weighted logistic elastic net regression | GWLelast-package GWLelast |
| GWLelast.cv.bw | GWLelast.cv.bw |
| GWLelast.est | GWLelast.est |
| GWLelast.inner | GWLelast.inner |
| GWLelast.sel.bw | GWLelast.sel.bw |
