R code for: Penalized Logistic Regression for Classification and Feature Selection with its Application to Detection of Two Official Species of Ganoderma

Name: R code for: Penalized Logistic Regression for Classification and Feature Selection with its Application to Detection of Two Official Species of Ganoderma
Creator: Ying Zhu
Published: 2017-10-14T10:22:35.929Z
Keywords: Coding in Statistics

Zhu, Ying; Cheang, Wai Kwong; Augustine, Tan

doi:10.17632/n6k3dm5nxv.2

R code for: Penalized Logistic Regression for Classification and Feature Selection with its Application to Detection of Two Official Species of Ganoderma

Published: 14 October 2017| Version 2 | DOI: 10.17632/n6k3dm5nxv.2

Contributors:

Ying Zhu, Wai Kwong Cheang, Tan Augustine

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This documented R code is for computations and analyses of three different penalized classification models in the manuscript "Penalized Logistic Regression for Classification and Feature Selection with its Application to Detection of Two Official Species of Ganoderma".

R code for: Penalized Logistic Regression for Classification and Feature Selection with its Application to Detection of Two Official Species of Ganoderma

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