mxRegularizeRidge: MxRegularizeRidge

Description Usage Arguments

View source: R/mxPenaltyFunctions.R

Description

Ridge regression regularization

Usage

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mxRegularizeRidge(
  what,
  name,
  lambda = 0,
  lambda.step = 0.01,
  lambda.max = 0.4,
  lambda.min = NA
)

Arguments

what

A list of parameters to regularize

name

Name of the regularizer object

lambda

strength of the penalty to be applied at start (default 0)

lambda.step

lambda step during penalty search (default 0.01)

lambda.max

when to end the lambda search (default 0.4)

lambda.min

minimum lambda value (default lambda)


trbrick/mxregsem documentation built on Nov. 18, 2020, 7:30 p.m.