Package: sparsesvd 0.2-2

sparsesvd: Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')

Wrapper around the 'SVDLIBC' library for (truncated) singular value decomposition of a sparse matrix. Currently, only sparse real matrices in Matrix package format are supported.

Authors:Doug Rohde [aut], Michael Berry [aut], Theresa Do [aut], Gavin O'Brien [aut], Vijay Krishna [aut], Sowmini Varadhan [aut], University of Tennessee Research Foundation [cph], Stephanie Evert [cre, aut, cph]

sparsesvd_0.2-2.tar.gz
sparsesvd_0.2-2.zip(r-4.5)sparsesvd_0.2-2.zip(r-4.4)sparsesvd_0.2-2.zip(r-4.3)
sparsesvd_0.2-2.tgz(r-4.5-x86_64)sparsesvd_0.2-2.tgz(r-4.5-arm64)sparsesvd_0.2-2.tgz(r-4.4-x86_64)sparsesvd_0.2-2.tgz(r-4.4-arm64)sparsesvd_0.2-2.tgz(r-4.3-x86_64)sparsesvd_0.2-2.tgz(r-4.3-arm64)
sparsesvd_0.2-2.tar.gz(r-4.5-noble)sparsesvd_0.2-2.tar.gz(r-4.4-noble)
sparsesvd_0.2-2.tgz(r-4.4-emscripten)sparsesvd_0.2-2.tgz(r-4.3-emscripten)
sparsesvd.pdf |sparsesvd.html✨
sparsesvd/json (API)
NEWS

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

Bug tracker:https://github.com/lucasmaystre/svdlibc/issues

On CRAN:

Conda:

3.16 score 5 packages 52 scripts 1.8k downloads 1 exports 2 dependencies

Last updated 2 years agofrom:7379a34fef. Checks:8 OK, 4 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 07 2025
R-4.5-win-x86_64NOTEMar 07 2025
R-4.5-mac-x86_64NOTEMar 07 2025
R-4.5-mac-aarch64NOTEMar 07 2025
R-4.5-linux-x86_64NOTEMar 07 2025
R-4.4-win-x86_64OKMar 07 2025
R-4.4-mac-x86_64OKMar 07 2025
R-4.4-mac-aarch64OKMar 07 2025
R-4.4-linux-x86_64OKMar 07 2025
R-4.3-win-x86_64OKMar 07 2025
R-4.3-mac-x86_64OKMar 07 2025
R-4.3-mac-aarch64OKMar 07 2025

Exports:sparsesvd

Dependencies:latticeMatrix