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'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS

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

1.82 score 2 stars 33 scripts 468 downloads 1 exports 0 dependencies

Last updated 1 years agofrom:dfa675f059. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 20 2024
R-4.5-linux-x86_64OKSep 20 2024

Exports:LowRankQP

Dependencies: