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)sparsesvd_0.2-3.zip(r-4.6)sparsesvd_0.2-3.zip(r-4.5)
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✨
card.svg |card.png
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:

3.64 score 8 packages 71 scripts 2.6k downloads 1 exports 2 dependencies

Last updated from:f613771cd4. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	120
linux-devel-x86_64	OK	129
source / vignettes	OK	155
linux-release-arm64	OK	135
linux-release-x86_64	OK	167
macos-release-arm64	OK	172
macos-release-x86_64	OK	303
macos-oldrel-arm64	OK	159
macos-oldrel-x86_64	OK	274
windows-devel	OK	100
windows-release	OK	96
windows-oldrel	OK	153
wasm-release	OK	96