Package: OSCARS
Type: Package
Title: Global Bounded Optimization by the OSCARS-II Algorithm
Version: 0.1.2
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 with fewer function evaluations than similar global 
    derivative-free methods.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: stats
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-05-04 04:09:09 UTC; cjp64
Author: Chris Price [aut, cre],
  Trent McDonald [aut, ctb] (R packaging)
Repository: CRAN
Date/Publication: 2026-05-06 19:50:11 UTC
