standardize

Should <code>x</code> be centered. Default is <code>TRUE</code>

center

Should <code>x</code> be scaled to have unit variance. Default is
<code>FALSE</code>

normalize

Function that standardizes the data before running the fitting
 algorithm. This is used in the <code><a rd-options="" href="/link/sail?package=sail&version=0.1.0" data-mini-rdoc="sail::sail">sail</a></code> function

Sparse additive interaction learning with the strong heredity property, i.e.,
an interaction is selected only if its corresponding main effects are also included.
Fits a linear model with non-linear interactions via penalized maximum likelihood.
Interactions are limited to a single exposure or environment variable. For more information,
see the website below and the accompanying paper: Bhatnagar et al., "A sparse additive model for
high-dimensional interactions with an exposure variable", 2019, <DOI:10.1101/445304>.

Sahir Bhatnagar

sail

Sparse Additive Interaction Learning

Yi Yang

Celia Greenwood

standardize function

Function that standardizes the data before running the fitting
 algorithm. This is used in the <code><a rd-options='' href='sail'>sail</a></code> function

standardize: Standardize Data

Description

Usage

Arguments

Value