CSMES: Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions

Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as described in De bock et al. (2020) <doi:10.1016/j.ejor.2020.01.052>) for cost-sensitive learning under unknown cost conditions.

Version:	1.0.0
Imports:	mco (≥ 1.0-15.1), ROCR (≥ 1.0-7), rpart (≥ 4.1-15), zoo (≥ 1.8-6), graphics (≥ 3.5.1), stats (≥ 3.5.1), caTools (≥ 1.18.0), data.table (≥ 1.12.2)
Published:	2020-02-22
Author:	Koen W. De Bock, Kristof Coussement and Stefan Lessmann
Maintainer:	Koen W. De Bock <kdebock at audencia.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	CSMES results

Documentation:

Reference manual:

CSMES.pdf

Downloads:

Package source:	CSMES_1.0.0.tar.gz
Windows binaries:	r-devel: CSMES_1.0.0.zip, r-release: CSMES_1.0.0.zip, r-oldrel: CSMES_1.0.0.zip
macOS binaries:	r-release (arm64): CSMES_1.0.0.tgz, r-oldrel (arm64): CSMES_1.0.0.tgz, r-release (x86_64): CSMES_1.0.0.tgz, r-oldrel (x86_64): CSMES_1.0.0.tgz

Linking:

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