ryhalg: H-algorithm for M-estimates
In robeth: R Functions for Robust Statistics

ryhalg

R Documentation

H-algorithm for M-estimates

Description

See Marazzi A. (1993), p.98

Usage

ryhalg(x, y, theta, wgt, cov, expsi = psi, exchi = chi, exrho = rho, 
       sigmai, k = np, tol = .dFvGet()$tlo, gam = .dFvGet()$gma, 
       tau = .dFvGet()$tua, itype = .dFvGet()$ite, ix = .dFvGet()$ix1, 
       iy = .dFvGet()$iy1, ic = .dFvGet()$ic1, isigma = .dFvGet()$isg, 
       icnv = .dFvGet()$icn, maxit = .dFvGet()$mxt, maxis = .dFvGet()$mxs, 
       nitmon = .dFvGet()$ntm, sf, sg, sh, ip)

Arguments

`x`	See reference
`y`	See reference
`theta`	See reference
`wgt`	See reference
`cov`	See reference
`expsi`	See reference
`exchi`	See reference
`exrho`	See reference
`sigmai`	See reference
`k`	See reference
`tol`	See reference
`gam`	See reference
`tau`	See reference
`itype`	See reference
`ix`	See reference
`iy`	See reference
`ic`	See reference
`isigma`	See reference
`icnv`	See reference
`maxit`	See reference
`maxis`	See reference
`nitmon`	See reference
`sf`	See reference
`sg`	See reference
`sh`	See reference
`ip`	See reference