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-4.5-noble)pcaPP_2.0-5.tar.gz(r-4.4-noble)
pcaPP_2.0-5.tgz(r-4.4-emscripten)pcaPP_2.0-5.tgz(r-4.3-emscripten)
pcaPP.pdf |pcaPP.html
pcaPP/json (API)

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

Peer review:

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

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

9.90 score 1 stars 341 packages 181 scripts 36k downloads 8 mentions 22 exports 1 dependencies

Last updated 4 months agofrom:4690ab880f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024

Exports:cor.fkcovPCcovPCAgridcovPCAprojdata.Zoul1medianl1median_BFGSl1median_CGl1median_HoCrl1median_NLMl1median_NMl1median_VaZhobjplotopt.BICopt.TPOPCAgridPCAprojPCdiagplotplotcovqnScaleAdvsPCAgrid

Dependencies:mvtnorm

Compiling pcaPP for Matlab

Rendered frommatlab.rnwusingutils::Sweaveon Oct 31 2024.

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