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 12:22:48
MaintainerMatthias Kohl <Matthias.Kohl@stamats.de>
LicenseLGPL-3
Version0.9
http://robast.r-forge.r-project.org/

View on R-Forge

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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