SAheart

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

datasets

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 in Linear, Logistic and CoxPH Models

Aijun Zhang

Shijie Quan

Xueqin Wang

SAheart function

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

Usage

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References