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rywalg

W-algorithm for M-estimates

Description

See Marazzi A. (1993), p.87

Usage

rywalg(x, y, theta, wgt, cov, psp0 = psp(0), expsi = psi, exchi = chi, 
       exrho = rho, sigmai, tol = .dFvGet()$tlo, gam = .dFvGet()$gma, 
       tau = .dFvGet()$tua, itype = .dFvGet()$ite, isigma = .dFvGet()$isg, 
       icnv = .dFvGet()$icn, maxit = .dFvGet()$mxt, maxis = .dFvGet()$mxs, 
       nitmon = .dFvGet()$ntm)

Arguments

`x`	See reference
`y`	See reference
`theta`	See reference
`wgt`	See reference
`cov`	See reference
`psp0`	See reference
`expsi`	See reference
`exchi`	See reference
`exrho`	See reference
`sigmai`	See reference
`tol`	See reference
`gam`	See reference
`tau`	See reference
`itype`	See reference
`isigma`	See reference
`icnv`	See reference
`maxit`	See reference
`maxis`	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.87

robeth

R Functions for Robust Statistics

v2.7-6

GPL (>= 2)

Authors

Alfio Marazzi <Alfio.Marazzi@unisante.ch>

Initial release

2020-03-02

rywalg

Description

Usage

Arguments

Value

References

robeth

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