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.tar.gz(r-4.5-noble)LowRankQP_1.0.6.tar.gz(r-4.4-noble)
LowRankQP_1.0.6.tgz(r-4.4-emscripten)LowRankQP_1.0.6.tgz(r-4.3-emscripten)
LowRankQP.pdf |LowRankQP.html✨
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

1.78 score 2 stars 1 packages 491 downloads 1 exports 0 dependencies

Last updated 2 years agofrom:dfa675f059. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-linux-x86_64OKFeb 28 2025

Exports:LowRankQP

Dependencies: