glmRob.cubif.control: Control Parameters for the Bounded Influence Robust GLM...

In robust: Port of the S+ "Robust Library"

Description

Allows users to set parameters for glmRob.

Usage

glmRob.cubif.control(epsilon = 0.001, maxit = 50, bpar = 2, cpar = 1.5,
  trc = FALSE, ...)

Arguments

epsilon	a positive numeric values specifying the convergence threshold for the parameters.
maxit	a positive integer giving the maximum number of iterations.
bpar	bpar
cpar	a single positive numeric value specifying the tuning constant for the initial estimate. This is the truncation value for the likelihood equation for the initial estimate. It determines the starting point of the iterative algorithm to calculate the final estimate.
trc	a logical value. If TRUE the number of the current iteration is printed on the screen.
...	additional arguments are ignored.

Value

a list is returned containing the values specified in the Arguments section.

See Also

glmRob.

robust documentation built on May 2, 2019, 5:20 p.m.