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-x86_64)LowRankQP_1.0.6.zip(r-4.7-arm64)LowRankQP_1.0.6.zip(r-4.6-x86_64)LowRankQP_1.0.6.zip(r-4.6-arm64)LowRankQP_1.0.6.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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

2.83 score 2 stars 2 packages 56 scripts 584 downloads 1 exports 0 dependencies

Last updated from:dfa675f059. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	132
linux-devel-x86_64	OK	104
source / vignettes	OK	160
linux-release-arm64	OK	104
linux-release-x86_64	OK	98
macos-release-arm64	OK	173
macos-release-x86_64	OK	192
macos-oldrel-arm64	OK	195
macos-oldrel-x86_64	OK	183
windows-devel-arm64	OK	323
windows-devel-x86_64	OK	98
windows-release-arm64	OK	309
windows-release-x86_64	OK	60
windows-oldrel-x86_64	OK	69
wasm-release	OK	114