Package: SPEV
Title: Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing
Version: 1.0.0
Authors@R: c(person("Rebecca", "Hurwitz", role = c("aut", "cre"), email = "rebeccahurwitz@hsph.harvard.edu"), person("Georg", "Hahn", role = "ctb"))
Maintainer: Rebecca Hurwitz <rebeccahurwitz@hsph.harvard.edu>
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: stats
NeedsCompilation: no
Packaged: 2026-10-15 09:19:06 UTC; root
Author: Rebecca Hurwitz [aut, cre], Georg Hahn [ctb]
Repository: https://rebeccahurwitz.r-universe.dev
Date/Publication: 2023-08-17 16:34:10 UTC
RemoteUrl: https://github.com/cran/SPEV
RemoteRef: HEAD
RemoteSha: 5275c34932298ee636bd65508931dfc89e714ba8