The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Contains logic for computing sparse principal components via the EESPCA method, which is based on an approximation of the eigenvector/eigenvalue identity. Includes logic to support execution of the TPower and rifle sparse PCA methods, as well as logic to estimate the sparsity parameters used by EESPCA, TPower and rifle via cross-validation to minimize the out-of-sample reconstruction error. H. Robert Frost (2021) <doi:10.1080/10618600.2021.1987254>.
Version: | 0.7.0 |
Depends: | R (≥ 3.6.0), rifle (≥ 1.0.0), MASS, PMA |
Published: | 2022-06-15 |
DOI: | 10.32614/CRAN.package.EESPCA |
Author: | H. Robert Frost |
Maintainer: | H. Robert Frost <rob.frost at dartmouth.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
Copyright: | Dartmouth College |
NeedsCompilation: | no |
CRAN checks: | EESPCA results |
Reference manual: | EESPCA.pdf |
Vignettes: |
EESPCA example |
Package source: | EESPCA_0.7.0.tar.gz |
Windows binaries: | r-devel: EESPCA_0.7.0.zip, r-release: EESPCA_0.7.0.zip, r-oldrel: EESPCA_0.7.0.zip |
macOS binaries: | r-release (arm64): EESPCA_0.7.0.tgz, r-oldrel (arm64): EESPCA_0.7.0.tgz, r-release (x86_64): EESPCA_0.7.0.tgz, r-oldrel (x86_64): EESPCA_0.7.0.tgz |
Old sources: | EESPCA archive |
Please use the canonical form https://CRAN.R-project.org/package=EESPCA 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.