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:
LowRankQP_1.0.6.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:dfa675f059. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 92 | ||
| linux-devel-x86_64 | OK | 96 | ||
| source / vignettes | OK | 133 | ||
| linux-release-arm64 | OK | 97 | ||
| linux-release-x86_64 | OK | 101 | ||
| wasm-release | OK | 80 |
Exports:LowRankQP
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Solve Low Rank Quadratic Programming Problems | LowRankQP |
