Package: SPCAvRP 0.4

SPCAvRP: Sparse Principal Component Analysis via Random Projections (SPCAvRP)

Implements the SPCAvRP algorithm, developed and analysed in "Sparse principal component analysis via random projections" Gataric, M., Wang, T. and Samworth, R. J. (2018) <arxiv:1712.05630>. The algorithm is based on the aggregation of eigenvector information from carefully-selected random projections of the sample covariance matrix.

Authors:Milana Gataric, Tengyao Wang and Richard J. Samworth

SPCAvRP_0.4.tar.gz
SPCAvRP_0.4.zip(r-4.7)SPCAvRP_0.4.zip(r-4.6)SPCAvRP_0.4.zip(r-4.5)
SPCAvRP_0.4.tgz(r-4.6-any)SPCAvRP_0.4.tgz(r-4.5-any)
SPCAvRP_0.4.tar.gz(r-4.7-any)SPCAvRP_0.4.tar.gz(r-4.6-any)
SPCAvRP_0.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SPCAvRP/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 stars 8 scripts 35 downloads 3 exports 1 dependencies

Last updated from:dcc6a99aca. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK122
linux-release-x86_64OK98
macos-release-arm64OK155
macos-oldrel-arm64OK179
windows-develOK65
windows-releaseOK79
windows-oldrelOK56
wasm-releaseOK88

Exports:SPCAvRPSPCAvRP_deflationSPCAvRP_subspace

Dependencies:MASS