pcaPP: Robust PCA by Projection Pursuit

Provides functions for robust PCA by projection pursuit. The methods are described in Croux et al. (2006) <doi:10.2139/ssrn.968376>, Croux et al. (2013) <doi:10.1080/00401706.2012.727746>, Todorov and Filzmoser (2013) <doi:10.1007/978-3-642-33042-1_31>.

Version: 1.9-73
Imports: mvtnorm
Published: 2018-01-14
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: ChangeLog
In views: ChemPhys, Multivariate, Psychometrics
CRAN checks: pcaPP results


Reference manual: pcaPP.pdf
Vignettes: Compiling pcaPP for Matlab
Package source: pcaPP_1.9-73.tar.gz
Windows binaries: r-devel: pcaPP_1.9-73.zip, r-release: pcaPP_1.9-73.zip, r-oldrel: pcaPP_1.9-73.zip
OS X El Capitan binaries: r-release: pcaPP_1.9-73.tgz
OS X Mavericks binaries: r-oldrel: pcaPP_1.9-72.1.tgz
Old sources: pcaPP archive

Reverse dependencies:

Reverse depends: ccaPP, DetMCD, muma, rainbow, rrlda, simule, sscor
Reverse imports: chemometrics, copula, CosmoPhotoz, DetR, ftsa, lcopula, MAINT.Data, OutlierDM, rmgarch, rospca, rrcov, rrcovHD, smart, sprm
Reverse suggests: ChemoSpec, cord, dimRed, fractaldim, MetaPCA, ProjectionBasedClustering, zenplots


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