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bigalgebra
View on CRAN: Click
here
Download and install bigalgebra package within the R console
Install from CRAN:
install.packages("bigalgebra")
Install from Github:
library("remotes")
install_github("cran/bigalgebra") Install by package version:
library("remotes")
install_version("bigalgebra", "3.1.1") Attach the package and use:
library("bigalgebra")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-16
Latest Update: 2024-09-23
Description:
Provides arithmetic functions for R matrix and 'big.matrix' objects as well as functions for QR factorization, Cholesky factorization, General eigenvalue, and Singular value decomposition (SVD). A method matrix multiplication and an arithmetic method -for matrix addition, matrix difference- allows for mixed type operation -a matrix class object and a big.matrix class object- and pure type operation for two big.matrix class objects.
How to cite:
Frederic Bertrand (2014). bigalgebra: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects. R package version 3.1.1, https://cran.r-project.org/web/packages/bigalgebra. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-09-09 12:30), 0.8.4.1 (2018-12-21 06:51), 0.8.4.2 (2019-12-06 12:48), 0.8.4 (2014-04-16 09:21), 1.0.0 (2021-04-19 00:00), 1.0.1 (2021-05-12 16:52), 1.1.0 (2022-04-08 08:42), 1.1.1 (2023-12-09 21:40), 1.1.2 (2024-09-23 18:50), 2.0.0 (2025-08-20 07:01), 2.0.2 (2025-09-08 14:00), 3.0.0 (2025-10-05 17:10), 3.1.0 (2026-03-24 13:20)
Other packages that cited bigalgebra R package
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Other R packages that bigalgebra depends,
imports, suggests or enhances
Complete documentation for bigalgebra
Functions, R codes and Examples using
the bigalgebra R package
Some associated functions: Ops . bigalgebra-package . daxpy . dcopy . dgeev . dgemm . dgeqrf . dgesdd . dpotrf . dscal .
Some associated R codes: bigalgebra.R . methods.R . utility.R . wrappers.R . zzz.R . Full bigalgebra package functions and examples
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