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
Description
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".
Files
Categories
Coding in Statistics