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gytstp

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

Value

See reference

References

Marazzi A. (1993) Algorithm, Routines, and S functions for Robust Statistics. Wadsworth & Brooks/cole, Pacific Grove, California. p.295

robeth

R Functions for Robust Statistics

v2.7-6
GPL (>= 2)
Authors
Alfio Marazzi <Alfio.Marazzi@unisante.ch>
Initial release
2020-03-02

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