FastHCS: Robust Algorithm for Principal Component Analysis

The FastHCS algorithm of Schmitt and Vakili (2014) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.

AuthorKaveh Vakili [aut, cre]
Date of publication2015-05-19 08:45:07
MaintainerKaveh Vakili <vakili.kaveh.email@gmail.com>
LicenseGPL (>= 2)
Version0.0.5

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Files

FastHCS
FastHCS/src
FastHCS/src/Makevars
FastHCS/src/psdo.cpp
FastHCS/src/mystruc.h
FastHCS/src/Makevars.win
FastHCS/src/FastHCS.cpp
FastHCS/NAMESPACE
FastHCS/data
FastHCS/data/Tablets.txt.gz
FastHCS/data/DnaAlteration.txt.gz
FastHCS/data/datalist
FastHCS/data/MultipleFeatures.txt.gz
FastHCS/R
FastHCS/R/FastHCS.R
FastHCS/MD5
FastHCS/DESCRIPTION
FastHCS/man
FastHCS/man/compPcaParams.Rd FastHCS/man/FHCSkernelEVD.Rd FastHCS/man/MultipleFeatures.Rd FastHCS/man/FastHCS-package.Rd FastHCS/man/FHCSnumStarts.Rd FastHCS/man/signFlip.Rd FastHCS/man/plot.FastHCS.Rd FastHCS/man/FHCSpsdo.Rd FastHCS/man/DnaAlteration.Rd FastHCS/man/FastHCS.Rd FastHCS/man/Tablets.Rd

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