Main algorithm

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Description

See Marazzi A. (1993), p.304

Usage

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gymain(x, y, ni, cov, a, theta, oi = 0, b = 1.1 * sqrt(np), 
       gam = .dFvGet()$gma, tau = .dFvGet()$tua, icase = .dFvGet()$ics, 
       iugl = .dFvGet()$iug, iopt = .dFvGet()$ipo, ialg = .dFvGet()$ilg, 
       icnvt = .dFvGet()$icn, icnva = .dFvGet()$icv, maxit = .dFvGet()$mxx, 
       maxtt = .dFvGet()$mxt, maxta = .dFvGet()$mxf, maxtc = .dFvGet()$mxt, 
       nitmnt = .dFvGet()$ntm, nitmna = .dFvGet()$ntm, tol = .dFvGet()$tlo, 
       tolt = .dFvGet()$tlo * 10, tola = .dFvGet()$tlo * 10, 
       tolc = .dFvGet()$tlo * 10)

Arguments

x

See reference

y

See reference

ni

See reference

cov

See reference

a

See reference

theta

See reference

oi

See reference

b

See reference

gam

See reference

tau

See reference

icase

See reference

iugl

See reference

iopt

See reference

ialg

See reference

icnvt

See reference

icnva

See reference

maxit

See reference

maxtt

See reference

maxta

See reference

maxtc

See reference

nitmnt

See reference

nitmna

See reference

tol

See reference

tolt

See reference

tola

See reference

tolc

See reference

Value

See reference

References

Marazzi A. (1993) Algorithm, Routines, and S functions for Robust Statistics. Wadsworth & Brooks/cole, Pacific Grove, California. p.304

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