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: 2.0-4
Depends: R (≥ 3.6.2)
Imports: mvtnorm, methods
Suggests: robustbase
Published: 2023-12-07
DOI: 10.32614/CRAN.package.pcaPP
Author: Peter Filzmoser, Heinrich Fritz, Klaudius Kalcher
Maintainer: Valentin Todorov <valentin.todorov at chello.at>
BugReports: https://github.com/valentint/pcaPP/issues
License: GPL (≥ 3)
URL: https://github.com/valentint/pcaPP
NeedsCompilation: yes
Materials: README ChangeLog
In views: ChemPhys, Psychometrics, Robust
CRAN checks: pcaPP results


Reference manual: pcaPP.pdf
Vignettes: Compiling pcaPP for Matlab


Package source: pcaPP_2.0-4.tar.gz
Windows binaries: r-devel: pcaPP_2.0-4.zip, r-release: pcaPP_2.0-4.zip, r-oldrel: pcaPP_2.0-4.zip
macOS binaries: r-release (arm64): pcaPP_2.0-4.tgz, r-oldrel (arm64): pcaPP_2.0-4.tgz, r-release (x86_64): pcaPP_2.0-4.tgz, r-oldrel (x86_64): pcaPP_2.0-4.tgz
Old sources: pcaPP archive

Reverse dependencies:

Reverse depends: ccaPP, DetMCD, diffee, gfboost, jeek, rainbow, simule, sscor
Reverse imports: AlpsNMR, chemometrics, ConfidenceEllipse, copula, crmReg, debCAM, DetR, ftsa, GEInter, latentcor, Maaslin2, MAINT.Data, mixedCCA, nvmix, oddnet, oddstream, PAsso, rmgarch, robflreg, rospca, rpls, rrcov, rrcovHD, stray
Reverse suggests: ChemoSpec, cord, dimRed, DRquality, fractaldim, Hmisc, ProjectionBasedClustering, robustX, zenplots


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