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optimizeR: Unified Framework for Numerical Optimizers

Provides a unified object-oriented framework for numerical optimizers in R. Allows for both minimization and maximization with any optimizer, optimization over more than one function argument, measuring of computation time, setting a time limit for long optimization tasks.

Version: 1.1.2
Depends: R (≥ 4.0.0)
Imports: checkmate, cli, lbfgsb3c, oeli (≥ 0.5.2), R6, stats, TestFunctions, ucminf, utils
Suggests: knitr, ggplot2, pracma, rmarkdown, testthat
Published: 2024-11-27
DOI: 10.32614/CRAN.package.optimizeR
Author: Lennart Oelschläger ORCID iD [aut, cre], Marius Ötting ORCID iD [ctb]
Maintainer: Lennart Oelschläger <oelschlaeger.lennart at gmail.com>
BugReports: https://github.com/loelschlaeger/optimizeR/issues
License: GPL (≥ 3)
URL: https://loelschlaeger.de/optimizeR/, https://github.com/loelschlaeger/optimizeR/
NeedsCompilation: no
Materials: README NEWS
In views: Optimization
CRAN checks: optimizeR results

Documentation:

Reference manual: optimizeR.pdf

Downloads:

Package source: optimizeR_1.1.2.tar.gz
Windows binaries: r-devel: optimizeR_1.1.2.zip, r-release: optimizeR_1.1.2.zip, r-oldrel: optimizeR_1.1.2.zip
macOS binaries: r-release (arm64): optimizeR_1.1.2.tgz, r-oldrel (arm64): optimizeR_1.1.2.tgz, r-release (x86_64): optimizeR_1.1.2.tgz, r-oldrel (x86_64): optimizeR_1.1.2.tgz
Old sources: optimizeR archive

Reverse dependencies:

Reverse depends: ao

Linking:

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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.