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, Robust
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
macOS binaries: r-release: pcaPP_1.9-73.tgz, r-oldrel: pcaPP_1.9-73.tgz
Old sources: pcaPP archive

Reverse dependencies:

Reverse depends: ccaPP, DetMCD, diffee, jeek, JointNets, muma, rainbow, rrlda, simule, sscor, Yamm
Reverse imports: CAMTHC, chemometrics, copula, crmReg, debCAM, DetR, dmbc, ftsa, lcopula, Maaslin2, MAINT.Data, mixedCCA, oddstream, OutlierDM, PAsso, rmgarch, rospca, rpls, rrcov, rrcovHD, specmine, sprm, stray
Reverse suggests: ChemoSpec, cord, dimRed, fractaldim, MetaPCA, ProjectionBasedClustering


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