coef.saenet: Extract Coefficients From a "saenet" Object

In umich-cphds/minet: Variable Selection for Multiply Imputed Data

Extract Coefficients From a "saenet" Object

Description

coef.galasso averages the estimates across imputations to return a single vector instead of a matrix.

Usage

## S3 method for class 'saenet'
coef(object, lambda, alpha, ...)

Arguments

object	A "cv.saenet" fit
lambda	Chosen value of lambda. Must be between "min(lambda)" and "max(lambda)". Default is "lambda.min"
alpha	Chosen value of alpha. Must be between "min(alpha)" and "max(alpha)". Default is "alpha.min"
...	Additional unused arguments

Value

A numeric vector containing the coefficients from running saenet on lambda and alpha.

umich-cphds/minet documentation built on March 9, 2024, 8:08 p.m.