The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

optimbase: R Port of the 'Scilab' Optimbase Module

Provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constraints, the cost function, the logging system, various termination criteria, etc...

Version: 1.0-10
Depends: Matrix, methods
Suggests: knitr (≥ 1.28), rmarkdown (≥ 2.2)
Published: 2022-01-26
DOI: 10.32614/CRAN.package.optimbase
Author: Sebastien Bihorel [aut, cre], Michael Baudin [aut]
Maintainer: Sebastien Bihorel <sb.pmlab at gmail.com>
License: CeCILL-2
NeedsCompilation: no
Materials: README ChangeLog
CRAN checks: optimbase results

Documentation:

Reference manual: optimbase.pdf
Vignettes: manual

Downloads:

Package source: optimbase_1.0-10.tar.gz
Windows binaries: r-devel: optimbase_1.0-10.zip, r-release: optimbase_1.0-10.zip, r-oldrel: optimbase_1.0-10.zip
macOS binaries: r-release (arm64): optimbase_1.0-10.tgz, r-oldrel (arm64): optimbase_1.0-10.tgz, r-release (x86_64): optimbase_1.0-10.tgz, r-oldrel (x86_64): optimbase_1.0-10.tgz
Old sources: optimbase archive

Reverse dependencies:

Reverse depends: neldermead, optimsimplex, scaRabee
Reverse imports: extBatchMarking, RobustANOVA

Linking:

Please use the canonical form https://CRAN.R-project.org/package=optimbase to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.