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mfragr

Generation and comparison of all regressions on subsets of covariates


Description

See Marazzi A. (1993), p.258

Usage

mfragr(x, y, vp, nc, itype = .dFvGet()$ith, c = .dFvGet()$ccc, 
       tol = .dFvGet()$tlo, gam = .dFvGet()$gma, 
       maxit = .dFvGet()$mxt, sigmac, sigmar)

Arguments

x

See reference

y

See reference

vp

See reference

nc

See reference

itype

See reference

c

See reference

tol

See reference

gam

See reference

maxit

See reference

sigmac

See reference

sigmar

See reference

Value

See reference

References

Marazzi A. (1993) Algorithm, Routines, and S functions for Robust Statistics. Wadsworth & Brooks/cole, Pacific Grove, California. p.258


robeth

R Functions for Robust Statistics

v2.7-6
GPL (>= 2)
Authors
Alfio Marazzi <Alfio.Marazzi@unisante.ch>
Initial release
2020-03-02

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