robeth: rynalg – R documentation

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rynalg

Newton algorithm with adaptive steps for M-estimates

Description

See Marazzi A. (1993), p.73

Usage

rynalg(x, y, theta, wgt, cov, expsi = psi, expsp = psp, exchi = chi, 
       exrho = rho, sigmai, gam = .dFvGet()$gma, tol = .dFvGet()$tlo, 
       tau = .dFvGet()$tua, itype = .dFvGet()$ite, iopt = .dFvGet()$iop, 
       isigma = .dFvGet()$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
`expsi`	See reference
`expsp`	See reference
`exchi`	See reference
`exrho`	See reference
`sigmai`	See reference
`gam`	See reference
`tol`	See reference
`tau`	See reference
`itype`	See reference
`iopt`	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.73

robeth

R Functions for Robust Statistics

v2.7-6

GPL (>= 2)

Authors

Alfio Marazzi <Alfio.Marazzi@unisante.ch>

Initial release

2020-03-02

rynalg

Description

Usage

Arguments

Value

References

robeth

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