Cost-Sensitive Multi-Criteria Ensemble Selection for Uncertain Cost Conditions
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Koen W. De Bock <kdebock@audencia.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Koen", "W."),
family = "De Bock",
role = c("aut", "cre"),
email = "kdebock@audencia.com"),
person(given = "Kristof",
family = "Coussement",
role = "aut"),
person(given = "Stefan",
family = "Lessmann",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing CSMES adds 8 packages (6 with compiled code, 12 MB of source tarballs). Heaviest: data.table 5.7 MB, gplots 4.6 MB, zoo 675 KB.
Code & Tests
Datasets
People & History
Maintainer since 1.0.0 (2020)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.1Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.02020-02-22
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-22
- Total releases
- 2 / 6 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 36 KB / 1 file
- Download size
- 50 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("CSMES")Cite the R Observatory
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From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.