ParamHelpers: Helpers for parameters in black-box optimization, tuning and machine learning

A small package containing useful functions for parameter descriptions and operations in black-box optimization, tuning and machine learning.

Version: 1.4
Imports: BBmisc (≥ 1.7), checkmate (≥ 1.4)
Suggests: emoa, lhs, irace, testthat, soobench
Published: 2014-10-10
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut]
Maintainer: Bernd Bischl <bernd_bischl at gmx.net>
BugReports: https://github.com/berndbischl/ParamHelpers/issues
License: BSD_3_clause + file LICENSE
URL: https://github.com/berndbischl/ParamHelpers
NeedsCompilation: yes
Materials: NEWS
CRAN checks: ParamHelpers results

Downloads:

Reference manual: ParamHelpers.pdf
Package source: ParamHelpers_1.4.tar.gz
Windows binaries: r-devel: ParamHelpers_1.4.zip, r-release: ParamHelpers_1.4.zip, r-oldrel: ParamHelpers_1.4.zip
OS X Snow Leopard binaries: r-release: ParamHelpers_1.4.tgz, r-oldrel: ParamHelpers_1.4.tgz
OS X Mavericks binaries: r-release: ParamHelpers_1.4.tgz
Old sources: ParamHelpers archive

Reverse dependencies:

Reverse depends: mlr
Reverse imports: metagen
Reverse suggests: llama