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rARPACK  

Solvers for Large Scale Eigenvalue and SVD Problems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rARPACK", "0.11-0")



Attach the package and use:
library("rARPACK")
Maintained by
Yixuan Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-24
Latest Update: 2016-03-10
Description:
Previously an R wrapper of the 'ARPACK' library , and now a shell of the R package 'RSpectra', an R interface to the 'Spectra' library for solving large scale eigenvalue/vector problems. The current version of 'rARPACK' simply imports and exports the functions provided by 'RSpectra'. New users of 'rARPACK' are advised to switch to the 'RSpectra' package.
How to cite:
Yixuan Qiu (2014). rARPACK: Solvers for Large Scale Eigenvalue and SVD Problems. R package version 0.11-0, https://cran.r-project.org/web/packages/rARPACK. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 0.5-0 (2014-08-24 15:50), 0.6-0 (2014-08-24 16:32), 0.7-0 (2014-11-03 00:40), 0.8-0 (2015-10-31 11:34), 0.8-1 (2015-11-01 00:15), 0.9-0 (2015-11-18 09:31), 0.10-0 (2016-01-18 22:25)
Other packages that cited rARPACK R package
View rARPACK citation profile
Other R packages that rARPACK depends, imports, suggests or enhances
Complete documentation for rARPACK
Functions, R codes and Examples using the rARPACK R package
Some associated functions: eigs . svds . 
Some associated R codes: 00_eigs.R . 30_svds.R .  Full rARPACK package functions and examples
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