duke

<p>This data set details microarray experiment for breast cancer patients.</p>

An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.

Canhong Wen

BeSS

Best Subset Selection /Ridge Regression in Linear, Logistic,
Poisson and CoxPH Models

Aijun Zhang

Shijie Quan

Liyuan Hu

Kangkang Jiang

Yanhang Zhang

Jin Zhu

Xueqin Wang

duke function

<p>A data frame with 86 rows and 501 variables,
where the first variable is the label of estrogen receptor-positive/negative,
and the remaining 500 variables are 500 gene.</p>

Format

Duke breast cancer data — duke

Duke breast cancer data

duke: Duke breast cancer data

Description

Arguments

Format

Details

References