irlba v2.3.3

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Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices

Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.

Functions in irlba

Name Description
summary.irlba_prcomp Summary method for truncated pca objects computed by prcomp_irlba.
ssvd Sparse regularized low-rank matrix approximation.
prcomp_irlba Principal Components Analysis
svdr Find a few approximate largest singular values and corresponding singular vectors of a matrix.
partial_eigen Find a few approximate largest eigenvalues and corresponding eigenvectors of a symmetric matrix.
irlba Find a few approximate singular values and corresponding singular vectors of a matrix.
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Vignettes of irlba

Name
irlba.Rnw
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Details

Type Package
Date 2019-02-04
LinkingTo Matrix
License GPL-3
BugReports https://github.com/bwlewis/irlba/issues
RoxygenNote 5.0.1
NeedsCompilation yes
Packaged 2019-02-05 14:03:24 UTC; blewis
Repository CRAN
Date/Publication 2019-02-05 14:53:31 UTC

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