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irlba : Fast Truncated SVD, PCA and Symmetric Eigendecomposition for Large Dense and Sparse Matrices

Package: irlba
Type: Package
Title: Fast Truncated SVD, PCA and Symmetric Eigendecomposition for
Large Dense and Sparse Matrices
Version: 2.0.0
Date: 2015-10-09
Author: Jim Baglama and Lothar Reichel
Maintainer: Bryan W. Lewis <blewis@illposed.net>
Description: Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.
Depends: Matrix
Imports: stats
License: GPL
BugReports: https://github.com/bwlewis/irlba/issues
NeedsCompilation: no
Packaged: 2015-10-10 16:18:16 UTC; blewis
Repository: CRAN
Date/Publication: 2015-10-11 10:47:33

● Data Source: CranContrib
● Cran Task View: NumericalMathematics
● 0 images, 2 functions, 0 datasets
Reverse Depends: 3