robeth: hysestw – R documentation

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hysestw

Resampling algorithm for the computation of weighted S-estimates

Description

See Marazzi A. (1993), p.216

Usage

hysestw(x, y, wgt, nq = np, iopt = .dFvGet()$ipt, intch = .dFvGet()$ich, 
        nrep, tols = .dFvGet()$tls, tolr = .dFvGet()$tlr, tau = .dFvGet()$tua, 
        gam = .dFvGet()$gma, maxit = .dFvGet()$mxt, maxs1 = .dFvGet()$msx, 
        maxs2 = .dFvGet()$mxs, expsi = psi, expsp = psp, exchi = chi, 
        iseed = .dFvGet()$isd)

Arguments

`x`	See reference
`y`	See reference
`wgt`	See reference
`nq`	See reference
`iopt`	See reference
`intch`	See reference
`nrep`	See reference
`tols`	See reference
`tolr`	See reference
`tau`	See reference
`gam`	See reference
`maxit`	See reference
`maxs1`	See reference
`maxs2`	See reference
`expsi`	See reference
`expsp`	See reference
`exchi`	See reference
`iseed`	See reference

Value

See reference

References

Marazzi A. (1993) Algorithm, Routines, and S functions for Robust Statistics. Wadsworth & Brooks/cole, Pacific Grove, California. p.216

robeth

R Functions for Robust Statistics

v2.7-6

GPL (>= 2)

Authors

Alfio Marazzi <Alfio.Marazzi@unisante.ch>

Initial release

2020-03-02

hysestw

Description

Usage

Arguments

Value

References

robeth

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