Package: sparsesvd 0.2-3

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_0.2-3.tar.gz
sparsesvd_0.2-3.zip(r-4.7-x86_64)sparsesvd_0.2-3.zip(r-4.7-arm64)sparsesvd_0.2-3.zip(r-4.6-x86_64)sparsesvd_0.2-3.zip(r-4.6-arm64)sparsesvd_0.2-3.zip(r-4.5-x86_64)
sparsesvd_0.2-3.tgz(r-4.6-x86_64)sparsesvd_0.2-3.tgz(r-4.6-arm64)sparsesvd_0.2-3.tgz(r-4.5-x86_64)sparsesvd_0.2-3.tgz(r-4.5-arm64)
sparsesvd_0.2-3.tar.gz(r-4.7-arm64)sparsesvd_0.2-3.tar.gz(r-4.7-x86_64)sparsesvd_0.2-3.tar.gz(r-4.6-arm64)sparsesvd_0.2-3.tar.gz(r-4.6-x86_64)
sparsesvd_0.2-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sparsesvd/json (API)

# 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:

3.67 score 8 packages 83 scripts 2.3k downloads 1 exports 2 dependencies

Last updated from:f613771cd4. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	91
linux-devel-x86_64	OK	110
source / vignettes	OK	159
linux-release-arm64	OK	91
linux-release-x86_64	OK	116
macos-release-arm64	OK	143
macos-release-x86_64	OK	379
macos-oldrel-arm64	OK	200
macos-oldrel-x86_64	OK	432
windows-devel-arm64	OK	339
windows-devel-x86_64	OK	159
windows-release-arm64	OK	427
windows-release-x86_64	OK	81
windows-oldrel-x86_64	OK	87
wasm-release	OK	80