The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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-devel: SPEV_1.0.0.zip, r-release: SPEV_1.0.0.zip, r-oldrel: SPEV_1.0.0.zip |
| macOS binaries: | r-release (arm64): SPEV_1.0.0.tgz, r-oldrel (arm64): SPEV_1.0.0.tgz, r-release (x86_64): SPEV_1.0.0.tgz, r-oldrel (x86_64): SPEV_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SPEV to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.