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.

Install the latest version of this package by entering the following in R:
install.packages("FastHCS")
AuthorKaveh Vakili [aut, cre]
Date of publication2015-05-19 08:45:07
MaintainerKaveh Vakili <vakili.kaveh.email@gmail.com>
LicenseGPL (>= 2)
Version0.0.5

View on CRAN

Files

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

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

Please suggest features or report bugs with the GitHub issue tracker.

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