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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 |
| 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 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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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.
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