extract.abess: Extract one model from a fitted "'abess'" object.

In abess: Fast Best Subset Selection

Extract one model from a fitted "abess" object.

Description

Extract the fixed-support-size model's information such as the selected predictors, coefficient estimation, and so on.

Usage

extract(object, support.size = NULL, ...)

## S3 method for class 'abess'
extract(object, support.size = NULL, ...)

Arguments

object	An "abess" project.
support.size	An integer value specifies the model size fitted at given support.size. If support.size = NULL, then the model with the best tuning value would be returned. Default: support.size = NULL.
...	Other arguments.

Value

A list object including the following components:

beta	A p-by-1 matrix of sparse matrix, stored in column format.
intercept	The fitted intercept value.
support.size	The support.size used in the function.
support.beta	The support.size-length vector of fitted coefficients on the support set.
support.vars	The character vector gives variables in the support set.
tune.value	The tuning value of the model.
dev	The deviance of the model.

See Also

print.abess, predict.abess, coef.abess, extract.abess, plot.abess, deviance.abess.

abess documentation built on April 11, 2025, 6:09 p.m.