beta.control: Control arguments for beta update algorithm

In gldrm: Generalized Linear Density Ratio Models

Control arguments for \beta update algorithm

Description

This function returns control arguments for the \beta update algorithm. Each argument has a default value, which will be used unless a different value is provided by the user.

Usage

beta.control(eps = 1e-10, maxiter = 1, maxhalf = 10)

Arguments

eps	Convergence threshold. The update has converged when the relative change in log-likelihood between iterations is less than eps. Only applies if maxiter>1.
maxiter	Maximum number of iterations allowed.
maxhalf	Maximum number of half steps allowed per iteration if log-likelihood does not improve.

Value

Object of S3 class "betaControl", which is a list of control arguments.

gldrm documentation built on May 29, 2024, 4:28 a.m.