Package: pcaPP 2.0-5

Valentin Todorov

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>.

Authors:Peter Filzmoser [aut], Heinrich Fritz [aut], Klaudius Kalcher [aut], Valentin Todorov [cre]

pcaPP_2.0-5.tar.gz
pcaPP_2.0-5.tar.gz(r-4.7-arm64)pcaPP_2.0-5.tar.gz(r-4.7-x86_64)pcaPP_2.0-5.tar.gz(r-4.6-arm64)pcaPP_2.0-5.tar.gz(r-4.6-x86_64)
pcaPP_2.0-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
pcaPP/json (API)

# Install 'pcaPP' in R:
install.packages('pcaPP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/valentint/pcapp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

9.76 score 1 stars 381 packages 264 scripts 48k downloads 8 mentions 22 exports 1 dependencies

Last updated from:4690ab880f. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK113
linux-devel-x86_64OK121
source / vignettesOK197
linux-release-arm64OK108
linux-release-x86_64OK112
wasm-releaseOK96

Exports:cor.fkcovPCcovPCAgridcovPCAprojdata.Zoul1medianl1median_BFGSl1median_CGl1median_HoCrl1median_NLMl1median_NMl1median_VaZhobjplotopt.BICopt.TPOPCAgridPCAprojPCdiagplotplotcovqnScaleAdvsPCAgrid

Dependencies:mvtnorm

Compiling pcaPP for Matlab

Rendered frommatlab.rnwusingutils::Sweaveon May 24 2026.

Last update: 2014-09-19
Started: 2014-09-19