ext_linear

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

ext_linear function

<p>A matrix with 50 rows and 4 columns</p>

Format

Simulated external data — ext_linear

Simulated external data

ext_linear: Simulated external data

Description

Usage

Arguments

Format