coef.abesspca: Extract Sparse Loadings from a fitted "'abesspca'" object.

In abess: Fast Best Subset Selection

Extract Sparse Loadings from a fitted "abesspca" object.

Description

This function provides estimated coefficients from a fitted "abesspca" object.

Usage

## S3 method for class 'abesspca'
coef(object, support.size = NULL, kpc = NULL, sparse = TRUE, ...)

Arguments

object	An "abesspca" project.
support.size	An integer vector specifies the coefficient fitted at given support.size. If support.size = NULL, then all coefficients would be returned. Default: support.size = NULL. This parameter is omitted if sparse.type = "kpc".
kpc	An integer vector specifies the coefficient fitted at given principal component. If kpc = NULL, then all coefficients would be returned. Default: kpc = NULL. This parameter is omitted if sparse.type = "fpc".
sparse	A logical value, specifying whether the coefficients should be presented as sparse matrix or not. Default: sparse = TRUE.
...	Other arguments.

Value

A matrix with length(support.size) columns. Each column corresponds to a sparse loading for the first principal component, where the number of non-zeros entries depends on the support.size.

See Also

print.abesspca, coef.abesspca, plot.abesspca.

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