Package: LowRankQP 1.0.6

LowRankQP: Low Rank Quadratic Programming

Solves quadratic programming problems where the Hessian is represented as the product of two matrices. Thanks to Greg Hunt for helping getting this version back on CRAN. The methods in this package are described in: Ormerod, Wand and Koch (2008) "Penalised spline support vector classifiers: computational issues" <doi:10.1007/s00180-007-0102-8>.

Authors:John T. Ormerod [aut, cre], Matt P. Wand [aut]

LowRankQP_1.0.6.tar.gz
LowRankQP_1.0.6.zip(r-4.7)LowRankQP_1.0.6.zip(r-4.6)LowRankQP_1.0.6.zip(r-4.5)
LowRankQP_1.0.6.tgz(r-4.6-x86_64)LowRankQP_1.0.6.tgz(r-4.6-arm64)LowRankQP_1.0.6.tgz(r-4.5-x86_64)LowRankQP_1.0.6.tgz(r-4.5-arm64)
LowRankQP_1.0.6.tar.gz(r-4.7-arm64)LowRankQP_1.0.6.tar.gz(r-4.7-x86_64)LowRankQP_1.0.6.tar.gz(r-4.6-arm64)LowRankQP_1.0.6.tar.gz(r-4.6-x86_64)
LowRankQP_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
LowRankQP/json (API)

# Install 'LowRankQP' in R:

install.packages('LowRankQP', repos = c('https://johnormerod.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

2.72 score 2 stars 2 packages 44 scripts 560 downloads 1 exports 0 dependencies

Last updated from:dfa675f059. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	96
linux-devel-x86_64	OK	96
source / vignettes	OK	140
linux-release-arm64	OK	91
linux-release-x86_64	OK	100
macos-release-arm64	OK	164
macos-release-x86_64	OK	215
macos-oldrel-arm64	OK	129
macos-oldrel-x86_64	OK	238
windows-devel	OK	72
windows-release	OK	67
windows-oldrel	OK	67
wasm-release	OK	80