Package: SwarmSVM
Title: Ensemble Learning Algorithms Based on Support Vector Machines
Version: 0.1-7
Date: 2022-12-14
Author: Tong He <hetong007@gmail.com>, Aydin Demircioglu <aydin.demircioglu@ini.ruhr-uni-bochum.de>
Maintainer: Tong He <hetong007@gmail.com>
Description: Three ensemble learning algorithms based on support vector machines. 
    They all train support vector machines on subset of data and combine the result.
Depends: R (>= 3.2.0)
Imports: e1071, LiblineaR, Matrix, SparseM, kernlab, methods, checkmate
        (>= 1.6.0), BBmisc
License: GPL-2
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2022-12-15 07:40:40 UTC; ubuntu
Repository: CRAN
Date/Publication: 2022-12-15 09:00:06 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2022-12-16 13:01:22 UTC; unix
Archs: SwarmSVM.so.dSYM
