EESPCA-package: Eigenvectors
In EESPCA: Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA)
EESPCA-package R Documentation
Eigenvectors
Description
Implementation of Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA).
Details
Package: EESPCA
Type: Package
Version: 0.7.0
Date: 2021
License: GPL-2
Note
This work was supported by the National Institutes of Health grants K01LM012426, R21CA253408, P20GM130454,and P30CA023108.
Author(s)
H. Robert Frost
References
Frost, H. R. (2022). Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA). Journal of Computational and Graphical Statistics.
EESPCA documentation built on June 16, 2022, 1:07 a.m.
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| EESPCA-package | R Documentation |
Eigenvectors
Description
Implementation of Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA).
Details
| Package: | EESPCA |
| Type: | Package |
| Version: | 0.7.0 |
| Date: | 2021 |
| License: | GPL-2 |
Note
This work was supported by the National Institutes of Health grants K01LM012426, R21CA253408, P20GM130454,and P30CA023108.
Author(s)
H. Robert Frost
References
Frost, H. R. (2022). Eigenvectors from Eigenvalues Sparse Principal Component Analysis (EESPCA). Journal of Computational and Graphical Statistics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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