summary.sparseR: Summary of sparseR model coefficients

In petersonR/sparseR: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials

Summary of sparseR model coefficients

Description

Summary of sparseR model coefficients

Usage

## S3 method for class 'sparseR'
summary(object, lambda, at = c("cvmin", "cv1se"), ...)

Arguments

object	a sparseR object
lambda	a particular value of lambda to predict with
at	a "smart" guess to use for lambda
...	additional arguments to be passed to summary.ncvreg

Value

an object of class 'summary.ncvreg' at specified or smart value of lambda.

petersonR/sparseR documentation built on April 17, 2025, 11:41 p.m.