onlinePCA: Online Principal Component Analysis

Online PCA for multivariate and functional data using perturbation methods, low-rank incremental methods, and stochastic optimization methods.

Version: 1.3
Depends: R (≥ 3.0.2), rARPACK
Imports: Rcpp (≥ 0.11.4), splines, stats
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-10-29
Author: David Degras [aut, cre], Herve Cardot [ctb]
Maintainer: David Degras <ddegrasv at>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: onlinePCA results


Reference manual: onlinePCA.pdf
Package source: onlinePCA_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: onlinePCA_1.3.tgz, r-oldrel: onlinePCA_1.0-1.tgz
OS X Mavericks binaries: r-release: onlinePCA_1.3.tgz
Old sources: onlinePCA archive