PCDimension: Finding the Number of Significant Principal Components

The PCDimension package implements two methods for determining the number of significant principal components.

AuthorKevin R. Coombes, Min Wang
Date of publication2016-05-11 12:53:55
MaintainerKevin R. Coombes <krc@silicovore.com>
LicenseApache License (== 2.0)
Version1.1.3
http://oompa.r-forge.r-project.org/

View on R-Forge

Files in this package

PCDimension/DESCRIPTION
PCDimension/NAMESPACE
PCDimension/NEWS
PCDimension/R
PCDimension/R/00-Auer-Gervini.R
PCDimension/TODO
PCDimension/data
PCDimension/data/spca.rda
PCDimension/man
PCDimension/man/AuerGervini-class.Rd PCDimension/man/agfun.Rd PCDimension/man/brokenStick.Rd PCDimension/man/compare.Rd PCDimension/man/rndLambdaF.Rd PCDimension/man/spca-data.Rd
PCDimension/tests
PCDimension/tests/00-auer.R
PCDimension/tests/00-auer.Rout.save

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

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