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

Fast and memory efficient methods for truncated singular and eigenvalue decompositions and principal component analysis of large sparse or dense matrices.

Install the latest version of this package by entering the following in R:
install.packages("irlba")
AuthorJim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]
Date of publication2016-09-21 19:27:40
MaintainerB. W. Lewis <blewis@illposed.net>
LicenseGPL-3
Version2.1.2

View on CRAN

Files

inst
inst/doc
inst/doc/irlba.pdf
inst/doc/irlba.Rnw
tests
tests/edge.R tests/test.R
src
src/Makevars
src/irlb.h
src/utility.c
src/irlb.c
NAMESPACE
demo
demo/00Index
demo/custom_matrix_multiply.R
R
R/irlba.R R/utility.R R/prcomp.R R/eigen.R
vignettes
vignettes/irlba.Rnw
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/prcomp_irlba.Rd man/irlba.Rd man/partial_eigen.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.