y_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

y_linear function

Format

Simulated outcome data — y_linear

Simulated outcome data

y_linear: Simulated outcome data

Description

Usage

Arguments

Format