irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
Version 2.2.1

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

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AuthorJim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Date of publication2017-05-17 07:28:01 UTC
MaintainerB. W. Lewis <blewis@illposed.net>
LicenseGPL-3
Version2.2.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("irlba")

Man pages

irlba: Find a few approximate singular values and corresponding...
partial_eigen: Find a few approximate largest eigenvalues and corresponding...
prcomp_irlba: Principal Components Analysis
svdr: Find a few approximate largest singular values and...

Functions

convtests Source code
cross Source code
irlba Man page Source code
norm2 Source code
orthog Source code
partial_eigen Man page Source code
prcomp_irlba Man page Source code
svdr Man page Source code

Files

inst
inst/doc
inst/doc/irlba.pdf
inst/doc/irlba.Rnw
tests
tests/edge.R
tests/svdr.R
tests/test.R
src
src/Makevars
src/irlb.h
src/utility.c
src/irlb.c
NAMESPACE
R
R/irlba.R
R/utility.R
R/svdr.R
R/prcomp.R
R/eigen.R
vignettes
vignettes/irlba.Rnw
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/svdr.Rd
man/prcomp_irlba.Rd
man/irlba.Rd
man/partial_eigen.Rd
irlba documentation built on May 20, 2017, 4:04 a.m.