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:

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 201 downloads 3 exports 1 dependencies

Last updated 6 years agofrom:dcc6a99aca. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 31 2025
R-4.5-winOKJan 31 2025
R-4.5-macOKJan 31 2025
R-4.5-linuxOKJan 31 2025
R-4.4-winOKJan 31 2025
R-4.4-macOKJan 31 2025
R-4.3-winOKJan 31 2025
R-4.3-macOKJan 31 2025

Exports:SPCAvRPSPCAvRP_deflationSPCAvRP_subspace

Dependencies:MASS