The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 2.0-5
Depends: R (≥ 3.6.2)
Imports: mvtnorm, methods
Suggests: robustbase
Published: 2024-08-19
DOI: 10.32614/CRAN.package.pcaPP
Author: Peter Filzmoser [aut], Heinrich Fritz [aut], Klaudius Kalcher [aut], Valentin Todorov [cre]
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

Documentation:

Reference manual: pcaPP.pdf
Vignettes: Compiling pcaPP for Matlab (source)

Downloads:

Package source: pcaPP_2.0-5.tar.gz
Windows binaries: r-devel: pcaPP_2.0-5.zip, r-release: pcaPP_2.0-5.zip, r-oldrel: pcaPP_2.0-5.zip
macOS binaries: r-release (arm64): pcaPP_2.0-5.tgz, r-oldrel (arm64): pcaPP_2.0-5.tgz, r-release (x86_64): pcaPP_2.0-5.tgz, r-oldrel (x86_64): pcaPP_2.0-5.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, 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pcaPP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.