RobRex: Optimally robust influence curves for regression and scale

Functions for the determination of optimally robust influence curves in case of linear regression with unknown scale and standard normal distributed errors where the regressor is random.

AuthorMatthias Kohl <Matthias.Kohl@stamats.de>
Date of publication2013-09-14 15:40:39
MaintainerMatthias Kohl <Matthias.Kohl@stamats.de>
LicenseLGPL-3
Version0.9
http://robast.r-forge.r-project.org/

View on CRAN

Files

RobRex
RobRex/inst
RobRex/inst/TOBEDONE
RobRex/inst/CITATION
RobRex/inst/scripts
RobRex/inst/scripts/ExamplesIC.R
RobRex/inst/scripts/example.R
RobRex/inst/scripts/ExamplesEstimation.R
RobRex/inst/NEWS
RobRex/NAMESPACE
RobRex/R
RobRex/R/rgsOptIC_ALs.R
RobRex/R/rgsOptIC_Ms.r
RobRex/R/rgsOptIC_ALc.R RobRex/R/rgsOptIC_MK.R RobRex/R/rgsOptIC_BM.R
RobRex/R/rgsOptIC_Mc.r
RobRex/R/rgsOptIC_M.R RobRex/R/rgsOptIC_AL.R
RobRex/MD5
RobRex/DESCRIPTION
RobRex/man
RobRex/man/rgsOptIC.BM.Rd RobRex/man/rgsOptIC.Ms.Rd RobRex/man/rgsOptIC.MK.Rd RobRex/man/rgsOptIC.ALs.Rd RobRex/man/rgsOptIC.Mc.Rd RobRex/man/rgsOptIC.AL.Rd RobRex/man/rgsOptIC.M.Rd RobRex/man/rgsOptIC.ALc.Rd

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