coef.logit: Extract Coefficients from an Object with S3 Class '"logit"'

In picasso: Sparse Learning with Convex and Concave Penalties

Extract Coefficients from an Object with S3 Class "logit"

Description

Extract estimated coefficient vectors from selected points on the regularization path.

Usage

## S3 method for class 'logit'
coef(object, lambda.idx = c(1:3), beta.idx = c(1:3), ...)

Arguments

object	An object with S3 class "logit".
lambda.idx	Indices of regularization parameters in the solution path to extract. The default is c(1:3).
beta.idx	Indices of coefficient entries to extract. The default is c(1:3).
...	Arguments to be passed to methods.

Value

A numeric matrix of extracted coefficients. Columns correspond to lambda.idx. Rows contain the intercept ("(Intercept)") and the selected coefficients ("beta[i]" for i in beta.idx).

Author(s)

Jason Ge, Xingguo Li, Haoming Jiang, Mengdi Wang, Tong Zhang, Han Liu and Tuo Zhao
Maintainer: Tuo Zhao <[e-mail]>

See Also

picasso and picasso-package.

picasso documentation built on March 12, 2026, 5:06 p.m.