Package: bigalgebra 3.1.0

bigalgebra: 'BLAS' and 'LAPACK' Routines for Native R Matrices and 'big.matrix' Objects

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.

Authors:Frederic Bertrand [cre, aut], Michael J. Kane [aut], Bryan Lewis [aut], John W. Emerson [aut]

bigalgebra_3.1.0.tar.gz
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bigalgebra_3.1.0.tgz(r-4.6-x86_64)bigalgebra_3.1.0.tgz(r-4.6-arm64)bigalgebra_3.1.0.tgz(r-4.5-x86_64)bigalgebra_3.1.0.tgz(r-4.5-arm64)
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bigalgebra_3.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
bigalgebra/json (API)

# Install 'bigalgebra' in R:
install.packages('bigalgebra', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbertran/bigalgebra/issues

Pkgdown/docs site:https://fbertran.github.io

Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

openblas

7.51 score 4 stars 3 packages 75 scripts 589 downloads 28 exports 5 dependencies

Last updated from:a7892947cc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK136
source / vignettesOK176
linux-release-arm64OK147
linux-release-x86_64OK143
macos-release-arm64OK96
macos-release-x86_64OK227
macos-oldrel-arm64OK90
macos-oldrel-x86_64OK180
windows-develOK88
windows-releaseOK101
windows-oldrelOK99
wasm-releaseOK143

Exports:Arithdadddasumdaxpydcopyddotdgeevdgemmdgeqrfdgesdddhproddnrm2dpotrfdprdctdqddotdscaldsetdsqrtdsubdsumdswapdsymmdvcaldxyzidamaxidaminidmaxidmin

Dependencies:BHbigmemorybigmemory.sriRcppuuid

Level 1 BLAS-Style Helpers
Overview | Filling and combining vectors | Dot products and element-wise operations | Reduction helpers

Last update: 2025-10-05
Started: 2025-10-05

LAPACK Decompositions with bigalgebra
Overview | QR factorisation with dgeqrf() | Cholesky factorisation with dpotrf() | Eigenvalues and eigenvectors via dgeev() | Singular value decomposition with dgesdd()

Last update: 2025-10-05
Started: 2025-10-05

Matrix Wrapper Helpers
Overview | Symmetric matrix products with dsymm() | General matrix multiplication with dgemm() | Updating matrices with daxpy()

Last update: 2025-10-05
Started: 2025-10-05

Working with big.matrix Objects
Overview | Creating in-memory big.matrix objects | Working with file-backed matrices | Sharing matrices between sessions | Cleaning up backing files

Last update: 2025-10-05
Started: 2025-10-05