sGPCA-package: Sparse Generalized Principal Component Analysis
In sGPCA: Sparse Generalized Principal Component Analysis
Description
Details
Author(s)
References
Description
Functions for computing Sparse Generalized Principal Components, including functions for modeling structured correlation
Details
Package: sgpca
Type: Package
Version: 1.0
Date: 2012-07-05
License: BSD-3
Author(s)
Frederick Campbell
Maintainer: Frederick Campbell <frederick.campbell@rice.edu>
References
Genevera I. Allen, Logan Grosenick, and Jonathan Taylor, "A generalized
least squares matrix decomposition", arXiv:1102.3074, 2011.
sGPCA documentation built on May 30, 2017, 5:20 a.m.
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Description Details Author(s) References
Description
Functions for computing Sparse Generalized Principal Components, including functions for modeling structured correlation
Details
| Package: | sgpca |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2012-07-05 |
| License: | BSD-3 |
Author(s)
Frederick Campbell
Maintainer: Frederick Campbell <frederick.campbell@rice.edu>
References
Genevera I. Allen, Logan Grosenick, and Jonathan Taylor, "A generalized least squares matrix decomposition", arXiv:1102.3074, 2011.
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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