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irlba  

Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices
View on CRAN: Click here


Download and install irlba package within the R console
Install from CRAN:
install.packages("irlba")

Install from Github:
library("remotes")
install_github("cran/irlba")

Install by package version:
library("remotes")
install_version("irlba", "2.3.5.1")



Attach the package and use:
library("irlba")
Maintained by
B. W. Lewis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-05-27
Latest Update: 2022-10-03
Description:
Fast and memory efficient methods for truncated singular value decomposition and principal components analysis of large sparse and dense matrices.
How to cite:
B. W. Lewis (2011). irlba: Fast Truncated Singular Value Decomposition and Principal Components Analysis for Large Dense and Sparse Matrices. R package version 2.3.5.1, https://cran.r-project.org/web/packages/irlba. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2011-05-27 08:03), 1.0.1 (2011-11-12 17:15), 1.0.2 (2012-11-05 08:41), 1.0.3 (2014-01-25 18:42), 2.0.0 (2015-10-11 10:47), 2.1.1 (2016-08-27 18:23), 2.1.2 (2016-09-21 19:27), 2.2.1 (2017-05-17 09:28), 2.3.1 (2017-10-18 22:15), 2.3.2 (2018-01-11 16:52), 2.3.3 (2019-02-05 15:53), 2.3.4 (2021-12-03 15:00), 2.3.5 (2021-12-06 15:10)
Other packages that cited irlba R package
View irlba citation profile
Other R packages that irlba depends, imports, suggests or enhances
Complete documentation for irlba
Functions, R codes and Examples using the irlba R package
Some associated functions: irlba . partial_eigen . prcomp_irlba . ssvd . summary.irlba_prcomp . svdr . 
Some associated R codes: eigen.R . irlba.R . prcomp.R . ssvd.R . svdr.R . utility.R .  Full irlba package functions and examples
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