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