Package: GAMens 1.2.1

GAMens: Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for Binary Classification

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.

Authors:Koen W. De Bock, Kristof Coussement and Dirk Van den Poel

GAMens_1.2.1.tar.gz
GAMens_1.2.1.zip(r-4.5)GAMens_1.2.1.zip(r-4.4)GAMens_1.2.1.zip(r-4.3)
GAMens_1.2.1.tgz(r-4.4-any)GAMens_1.2.1.tgz(r-4.3-any)
GAMens_1.2.1.tar.gz(r-4.5-noble)GAMens_1.2.1.tar.gz(r-4.4-noble)
GAMens_1.2.1.tgz(r-4.4-emscripten)GAMens_1.2.1.tgz(r-4.3-emscripten)
GAMens.pdf |GAMens.html
GAMens/json (API)

# Install 'GAMens' in R:
install.packages('GAMens', repos = c('https://koendebock.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 scripts 206 downloads 2 exports 7 dependencies

Last updated 7 years agofrom:5934bc5277. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 24 2024
R-4.5-winOKOct 24 2024
R-4.5-linuxOKOct 24 2024
R-4.4-winOKOct 24 2024
R-4.4-macOKOct 24 2024
R-4.3-winOKOct 24 2024
R-4.3-macOKOct 24 2024

Exports:GAMensGAMens.cv

Dependencies:bitopscaToolscodetoolsforeachgamiteratorsmlbench