subplex: Unconstrained Optimization using the Subplex Algorithm

The subplex algorithm for unconstrained optimization, developed by Tom Rowan <http://www.netlib.org/opt/subplex.tgz>.

Version: 1.6
Depends: R (≥ 2.5.1)
Published: 2020-02-23
Author: Aaron A. King [aut, trl, cre], Tom Rowan [aut]
Maintainer: Aaron A. King <kingaa at umich.edu>
BugReports: https://github.com/kingaa/subplex/issues/
License: GPL-3
URL: https://github.com/kingaa/subplex/
NeedsCompilation: yes
Materials: NEWS
In views: Optimization
CRAN checks: subplex results

Downloads:

Reference manual: subplex.pdf
Package source: subplex_1.6.tar.gz
Windows binaries: r-devel: subplex_1.6.zip, r-release: subplex_1.6.zip, r-oldrel: subplex_1.6.zip
macOS binaries: r-release: subplex_1.6.tgz, r-oldrel: subplex_1.6.tgz
Old sources: subplex archive

Reverse dependencies:

Reverse depends: hisse, mvMORPH, ouch, TreePar
Reverse imports: cops, DAISIE, DDD, diskImageR, diversitree, geiger
Reverse suggests: CollocInfer, optimx, pomp, ROI.plugin.optimx

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