get.candidate

Standardized independent variables

A description of the error distribution and link function to be
used in the model. It can take the value of <code>\code{gaussian}</code>, <code>\code{binomial}</code>,
<code>\code{poisson}</code>, and <code>\code{cox}</code>.

family

Get the indices of the candidate set in the first stage

Implementation of penalized regression with second-generation p-values for variable
selection. The algorithm can handle linear regression, GLM, and Cox regression. S3 methods print(), summary(), coef(), predict(), and plot() are available for the algorithm. Technical details
can be found at Zuo et al. (2021) <doi:10.1080/00031305.2021.1946150>.

Yi Zuo

get.candidate: `get.candidate`: Get candidate set

Description

Usage

Arguments

Value