GWLelast: GWLelast Geographically weighted logistic elastic net...
In GWLelast: Geographically Weighted Logistic Elastic Net Regression
Description
This pacakge fits the geographically weighted logistic elastic net regression model for a valible seelction and for the mitigatin of the multicolinearity between coefficients due to geographical correlation. 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.
GWLelast documentation built on May 2, 2019, 8:28 a.m.
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.
Description
This pacakge fits the geographically weighted logistic elastic net regression model for a valible seelction and for the mitigatin of the multicolinearity between coefficients due to geographical correlation. 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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.