Heart

heart

Data from a subset of the Coronary Risk-Factor Study
 baseline survey, carried out in rural South Africa.<ul>
<li>X: A design matrix with 462 observations (rows) and 9
 predictor variables (columns). The columns are:<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>
</ul></li>
<li>y: Coronary heart disease at baseline; 1=Yes 0=No</li>
</ul>

datasets

Fits regularization paths for linear regression, GLM, and Cox
regression models using lasso or nonconvex penalties, in particular the
minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD)
penalty, with options for additional L2 penalties (the "elastic net" idea).
Utilities for carrying out cross-validation as well as post-fitting
visualization, summarization, inference, and prediction are also provided.

Heart: Risk factors associated with heart disease

Description

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References