Package: arcopt
Type: Package
Title: Adaptive Regularization using Cubics for Optimization
Version: 0.3.0
Authors@R: c(
    person("Marcus", "Waldman", email = "marcus.waldman@cuanschutz.edu",
           role = c("aut", "cre")))
Description: Implements cubic regularization methods (ARC) for local
    optimization problems common in statistics and applied research. Provides
    robust handling of ill-conditioned, nonconvex, and indefinite Hessian
    problems with automatic saddle point escape. Supports box constraints;
    linear equality constraints are planned for a future release.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/marcus-waldman/arcopt
BugReports: https://github.com/marcus-waldman/arcopt/issues
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0), utils
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr, marqLevAlg,
        trust
VignetteBuilder: knitr
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-04-28 16:36:29 UTC; marcu
Author: Marcus Waldman [aut, cre]
Maintainer: Marcus Waldman <marcus.waldman@cuanschutz.edu>
Repository: CRAN
Date/Publication: 2026-04-29 08:10:10 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-05-01 17:02:07 UTC; unix
Archs: arcopt.so.dSYM
