Package: SPCAvRP
Type: Package
Title: Sparse Principal Component Analysis via Random Projections
        (SPCAvRP)
Version: 0.4
Date: 2019-05-01
Author: Milana Gataric, Tengyao Wang and Richard J. Samworth
Maintainer: Milana Gataric <m.gataric@statslab.cam.ac.uk>
Description: 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.
Depends: R (>= 3.0.0), parallel, MASS
License: GPL-3
URL: https://arxiv.org/abs/1712.05630
NeedsCompilation: no
Repository: CRAN
Packaged: 2019-05-03 22:38:13 UTC; mg617
RoxygenNote: 6.1.1
Date/Publication: 2019-05-03 23:00:04 UTC
Built: R 4.6.0; ; 2026-04-25 22:30:39 UTC; unix
