Global Bounded Optimization by the OSCARS-II Algorithm R package OSCARS version 0.1.2 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. Software Imports: stats Chris Price <chrisj.price@canterbury.ac.nz> Comprehensive R Archive Network (CRAN) Chris Price [aut, cre], Trent McDonald [aut, ctb] (R packaging) Apache License (>= 2) 2026-05-06 application/tgz https://CRAN.R-project.org/package=OSCARS doi:10.32614/CRAN.package.OSCARS