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PRIMME  

Eigenvalues and Singular Values and Vectors from Large Matrices
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PRIMME", "3.2-6")



Attach the package and use:
library("PRIMME")
Maintained by
Eloy Romero
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-13
Latest Update: 2024-01-09
Description:
R interface to 'PRIMME' , a C library for computing a few eigenvalues and their corresponding eigenvectors of a real symmetric or complex Hermitian matrix, or generalized Hermitian eigenproblem. It can also compute singular values and vectors of a square or rectangular matrix. 'PRIMME' finds largest, smallest, or interior singular/eigenvalues and can use preconditioning to accelerate convergence. General description of the methods are provided in the papers Stathopoulos (2010, ) and Wu (2017, ). See 'citation("PRIMME")' for details.
How to cite:
Eloy Romero (2017). PRIMME: Eigenvalues and Singular Values and Vectors from Large Matrices. R package version 3.2-6, https://cran.r-project.org/web/packages/PRIMME. Accessed 25 Jun. 2026.
Previous versions and publish date:
2.1-0 (2017-04-13 23:32), 2.2-0 (2018-01-13 00:26), 3.0-0 (2019-07-25 11:50), 3.1-1 (2020-05-27 00:10), 3.1-2 (2020-09-24 22:40), 3.1-3 (2020-10-25 17:20), 3.1-4 (2021-01-22 14:10), 3.2-1 (2021-03-01 00:00), 3.2-2 (2022-05-04 14:20), 3.2-3 (2022-06-28 01:00), 3.2-4 (2023-05-10 10:30), 3.2-5 (2023-10-01 00:42), 3.2-6 (2024-01-09 15:00)
Other packages that cited PRIMME R package
View PRIMME citation profile
Other R packages that PRIMME depends, imports, suggests or enhances
Complete documentation for PRIMME
Functions, R codes and Examples using the PRIMME R package
Some associated functions: eigs_sym . svds . 
Some associated R codes: RcppExports.R . eigs.R . svds.R .  Full PRIMME package functions and examples
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