irlba (2.2.1)

0 users

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

http://cran.r-project.org/web/packages/irlba

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

Maintainer: B. W. Lewis
Author(s): Jim Baglama [aut, cph], Lothar Reichel [aut, cph], B. W. Lewis [aut, cre, cph]

License: GPL-3

Uses: Matrix
Reverse depends: DDRTree, s4vd, semisupKernelPCA
Reverse suggests: DrImpute, KernelKnn, logisticPCA, steadyICA

Released 3 months ago.


7 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of irlba yet. Want to be the first? Write one now.


Related packages: Brobdingnag, Matrix, R.matlab, Rserve, Ryacas, SparseM, akima, combinat, elliptic, gmp, gsl, magic, matlab, matrixcalc, numDeriv, onion, orthopolynom, partitions, polynom, signal(20 best matches, based on common tags.)


Search for irlba on google, google scholar, r-help, r-devel.

Visit irlba on R Graphical Manual.