Package: OSCARS
Type: Package
Title: Global Bounded Optimization by the OSCARS-II Algorithm
Version: 0.2.1
Maintainer: Chris Price <chrisj.price@canterbury.ac.nz>
Authors@R: c(
      person("Chris", "Price", email="chrisj.price@canterbury.ac.nz", role=c("aut", "cre"))
    , person("Trent", "McDonald", role=c("aut","ctb"), email="trent@mcdonalddatasciences.com", comment="R packaging")
    )
Description: A collection of general optimization routines based on
        variants of the One Side Cut Accelerated Random Search
        (OSCARS-II) algorithm (Price et al., 2020,
        <doi:10.1007/s10898-020-00928-6>). The main function ,
        'oscars()', performs black-box optimization of a general
        (including nonsmooth or discontinuous) function subject to
        simple bounds on the unknowns. If all bounds are finite, oscars
        searches globally. The main method implements a stochastic
        direct search method and is derivative free. Testing shows the
        OSCARS-II algorithm usually finds extrema in fewer function
        evaluations than similar global derivative-free methods.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: stats, parallel, cli
RoxygenNote: 7.3.3
Repository: https://oscarsglobal.r-universe.dev
Date/Publication: 2026-09-22 05:14:23 UTC
RemoteUrl: https://github.com/oscarsglobal/oscars
RemoteRef: HEAD
RemoteSha: 184fdce491abb4afa2c5cefced20c8fd095aaddc
NeedsCompilation: no
Packaged: 2026-09-22 10:14:31 UTC; root
Author: Chris Price [aut, cre],
  Trent McDonald [aut, ctb] (R packaging)