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-4.5)SPCAvRP_0.4.zip(r-4.4)SPCAvRP_0.4.zip(r-4.3)
SPCAvRP_0.4.tgz(r-4.5-any)SPCAvRP_0.4.tgz(r-4.4-any)SPCAvRP_0.4.tgz(r-4.3-any)
SPCAvRP_0.4.tar.gz(r-4.5-noble)SPCAvRP_0.4.tar.gz(r-4.4-noble)
SPCAvRP_0.4.tgz(r-4.4-emscripten)SPCAvRP_0.4.tgz(r-4.3-emscripten)
SPCAvRP.pdf |SPCAvRP.html
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 149 downloads 3 exports 1 dependencies

Last updated 6 years agofrom:dcc6a99aca. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winOKApr 01 2025
R-4.5-macOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-winOKApr 01 2025
R-4.4-macOKApr 01 2025
R-4.4-linuxOKApr 01 2025
R-4.3-winOKApr 01 2025
R-4.3-macOKApr 01 2025

Exports:SPCAvRPSPCAvRP_deflationSPCAvRP_subspace

Dependencies:MASS