gytstp: Newton-type algorithm for the theta-step
In robeth: R Functions for Robust Statistics

gytstp

R Documentation

Newton-type algorithm for the theta-step

Description

See Marazzi A. (1993), p.295

Usage

gytstp(x, y, ci, theta, wa, cov, ni, oi = 0, gam = .dFvGet()$gma, 
       tol = .dFvGet()$tlo, tau = .dFvGet()$tua, iopt = .dFvGet()$ipo, 
       icase = .dFvGet()$ics, icnv = .dFvGet()$icn, maxit = .dFvGet()$mxt, 
       nitmon = .dFvGet()$ntm)

Arguments

`x`	See reference
`y`	See reference
`ci`	See reference
`theta`	See reference
`wa`	See reference
`cov`	See reference
`ni`	See reference
`oi`	See reference
`gam`	See reference
`tol`	See reference
`tau`	See reference
`iopt`	See reference
`icase`	See reference
`icnv`	See reference
`maxit`	See reference
`nitmon`	See reference