SwarmSVM: Ensemble Learning Algorithms Based on Support Vector Machines

Three ensemble learning algorithms based on support vector machines. They all train support vector machines on subset of data and combine the result.

Version:	0.1-6
Depends:	R (≥ 3.2.0)
Imports:	e1071, LiblineaR, Matrix, SparseM, kernlab, methods, checkmate (≥ 1.6.0), BBmisc
Suggests:	testthat, knitr, rmarkdown
Published:	2020-01-31
Author:	Tong He, Aydin Demircioglu
Maintainer:	Tong He <hetong007 at gmail.com>
License:	GPL-2
NeedsCompilation:	yes
Materials:	README
CRAN checks:	SwarmSVM results

Documentation:

Reference manual:	SwarmSVM.pdf
Vignettes:	SwarmSVM

Downloads:

Package source:	SwarmSVM_0.1-6.tar.gz
Windows binaries:	r-devel: SwarmSVM_0.1-6.zip, r-release: SwarmSVM_0.1-6.zip, r-oldrel: SwarmSVM_0.1-6.zip
macOS binaries:	r-release (arm64): SwarmSVM_0.1-6.tgz, r-oldrel (arm64): SwarmSVM_0.1-6.tgz, r-release (x86_64): SwarmSVM_0.1-6.tgz, r-oldrel (x86_64): SwarmSVM_0.1-6.tgz
Old sources:	SwarmSVM archive

Reverse dependencies:

Reverse suggests:

mlr

Linking:

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