sail-internal

SoftThreshold

l2norm

cbbPalette

nonzero

check_col_0

lambda

vector or 1 column matrix of regression coefficients

beta

<code>bystep = FALSE</code> means which variables were ever nonzero.
<code>bystep = TRUE</code> means which variables are nonzero for each step

bystep

Internal sail helper functions<code>cbbPalette</code> gives a Color Blind Palette<code>nonzero</code> is to determine which coefficients are non-zero<code>check_col_0</code> is to check how many columns are 0 and is
 used in the fitting functions <code>lspath</code>

datasets

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

sail-internal function

An object of class <code>character</code> of length 8.

sail-internal: Internal sail functions

Description

Usage

Arguments

Format

Details