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: 1.3
Imports: BBmisc (≥ 1.7), checkmate (≥ 1.1)
Suggests: emoa, lhs, irace, testthat, soobench
Published: 2014-07-15
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut]
Maintainer: Bernd Bischl <bernd_bischl at>
License: BSD_3_clause + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: ParamHelpers results


Reference manual: ParamHelpers.pdf
Package source: ParamHelpers_1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: ParamHelpers_1.3.tgz, r-oldrel: ParamHelpers_1.3.tgz
OS X Mavericks binaries: r-release: ParamHelpers_1.3.tgz
Old sources: ParamHelpers archive

Reverse dependencies:

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