Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification
Overview
Implements the GAMbag, GAMrsm and GAMens ensemble classifiers for binary classification (De Bock et al., 2010) doi:10.1016/j.csda.2009.12.013. The ensembles implement Bagging (Breiman, 1996) doi:10.1023/A:1010933404324, the Random Subspace Method (Ho, 1998) doi:10.1109/34.709601 , or both, and use Hastie and Tibshirani's (1990, ISBN:978-0412343902) generalized additive models (GAMs) as base classifiers. Once an ensemble classifier has been trained, it can be used for predictions on new data. A function for cross validation is also included.
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>’
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Authors@R: c(person(given = c("Koen", "W."),
family = "De Bock",
role = c("aut", "cre"),
email = "kdebock@audencia.com"),
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family = "Coussement",
role = "aut"),
person(given = "Dirk",
family = "Van den Poel",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
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Documentation
- Help pages
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Maintainer since 1.0 (2010)
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- archivedRemoved from CRAN2013-03-22the licence is incompatible with dependencies
- RR 2.15.0 released · 2012-03-30
- 2.15.0Latest
- RR 2.14.0 released · 2011-10-31
- RR 2.13.0 released · 2011-04-13
- RR 2.12.0 released · 2010-10-15
- RR 2.11.0 released · 2010-04-22
- 2.11.02010-02-25 · diff ↗
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- 1.02010-01-11
- RR 2.10.0 released · 2009-10-26
Package metadata
- First published
- 2010-01-11
- Total releases
- 9 / 16 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.4.0
- Download size
- 9.5 KB
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