Package: LowRankQP 1.0.6

John T. Ormerod

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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS

On CRAN:

Conda:

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

openblas

2.08 score 2 stars 2 packages 518 downloads 1 exports 0 dependencies

Last updated from:dfa675f059. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK71
linux-devel-x86_64OK467
source / vignettesOK130
linux-release-arm64OK74
linux-release-x86_64OK96
windows-devel-arm64OK168
windows-devel-x86_64OK100
windows-release-arm64OK220
windows-release-x86_64OK59
wasm-releaseOK86

Exports:LowRankQP

Dependencies: