SPEV: Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing

We provide functionality to implement penalized PCA with an option to smooth the objective function using Nesterov smoothing. Two functions are available to compute a user-specified number of eigenvectors. The function unsmoothed_penalized_EV() computes a penalized PCA without smoothing and has three parameters (the input matrix, the Lasso penalty, and the number of desired eigenvectors). The function smoothed_penalized_EV() computes a smoothed penalized PCA using the same parameters and additionally requires the specification of a smoothing parameter. Both functions return a matrix having the desired eigenvectors as columns.

Version: 1.0.0
Imports: stats
Published: 2023-08-17
Author: Rebecca Hurwitz [aut, cre], Georg Hahn [ctb]
Maintainer: Rebecca Hurwitz <rebeccahurwitz at hsph.harvard.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: SPEV results


Reference manual: SPEV.pdf


Package source: SPEV_1.0.0.tar.gz
Windows binaries: r-prerel: SPEV_1.0.0.zip, r-release: SPEV_1.0.0.zip, r-oldrel: SPEV_1.0.0.zip
macOS binaries: r-prerel (arm64): SPEV_1.0.0.tgz, r-release (arm64): SPEV_1.0.0.tgz, r-oldrel (arm64): SPEV_1.0.0.tgz, r-prerel (x86_64): SPEV_1.0.0.tgz, r-release (x86_64): SPEV_1.0.0.tgz


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