spca-package: spca: A package for lasso-penalized singular value...
In schoonees/spca: Lasso-Penalized Singular Value Decomposition and Sparse Principal Components Analysis
Description
The package implements the lasso-penalized singular value decomposition, and principal components analyis
of Witten, Hastie and Tibshirani (2009). It is similar to some of the functionality in the PMA package.
References
Witten, D. M., Tibshirani, R., & Hastie, T. (2009). A penalized matrix decomposition, with applications to
sparse principal components and canonical correlation analysis. Biostatistics, 10(3), 515-534.
schoonees/spca documentation built on Jan. 31, 2021, 6:21 p.m.
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Description
The package implements the lasso-penalized singular value decomposition, and principal components analyis of Witten, Hastie and Tibshirani (2009). It is similar to some of the functionality in the PMA package.
References
Witten, D. M., Tibshirani, R., & Hastie, T. (2009). A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics, 10(3), 515-534.
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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