x_linear

<p>Simulated example data for hierarchical regularized linear regression</p>

datasets

Fits hierarchical regularized regression models
to incorporate potentially informative external data, Weaver and Lewinger (2019) <doi:10.21105/joss.01761>.
Utilizes coordinate descent to efficiently fit regularized regression models both with and without
external information with the most common penalties used in practice (i.e. ridge, lasso, elastic net).
Support for standard R matrices, sparse matrices and big.matrix objects.

Garrett Weaver

xrnet

Hierarchical Regularized Regression

Dixin Shen

Juan Pablo Lewinger

x_linear function

<p>A matrix with 100 rows and 50 variables</p>

x_linear: Simulated example data for hierarchical regularized linear regression

Description

Usage

Arguments

Format