SAheart

Data from a subset of the Coronary Risk-Factor Study baseline survey,
carried out in rural South Africa.

datasets

The bestridge package is designed to provide a one-stand service for users to successfully carry out best ridge regression in various complex situations 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>. This package allows users to perform the regression, classification, count regression and censored regression for (ultra) high dimensional data, and it also supports advanced usages like group variable selection and nuisance variable selection.

Liyuan Hu

bestridge

A Comprehensive R Package for Best Subset Selection

Jin Zhu

Junxian Zhu

Kangkang Jiang

Yanhang Zhang

Xueqin Wang

Canhong Wen

SAheart function

The variables are as follows:<ul>
<li>sbp: Systolic blood pressure</li>
<li>tobacco: Cumulative tobacco
consumption, in kg</li>
<li>ldl: Low-density lipoprotein cholesterol</li>
<li>adiposity: Adipose tissue concentration</li>
<li>famhist: Family history of
heart disease (1=Present, 0=Absent)</li>
<li>typea: Score on test designed to
measure type-A behavior</li>
<li>obesity: Obesity</li>
<li>alcohol: Current
consumption of alcohol</li>
<li>age: Age of subject</li>
<li>chd: Coronary heart
disease at baseline; 1=Yes 0=No</li>
</ul>A data frame with 462 observations on 10 variables

Format

Risk factors associated with heart disease — SAheart

Risk factors associated with heart disease

SAheart: Risk factors associated with heart disease

Description

Arguments

Value

Format

References