WeightSVM: Subject Weighted Support Vector Machines

Functions for subject/instance weighted support vector machines (SVM). It uses a modified version of 'libsvm' and is compatible with package 'e1071'. It also allows user defined kernel matrix.

Version: 1.7-16
Imports: graphics, grDevices, stats, methods, utils
Suggests: SparseM, xtable, Matrix, MASS, e1071, knitr, slam, kernlab
Published: 2024-10-12
DOI: 10.32614/CRAN.package.WeightSVM
Author: Tianchen Xu ORCID iD [aut, cre], Chih-Chung Chang [ctb, cph] (libsvm C++-code), Chih-Chen Lin [ctb, cph] (libsvm C++-code), Ming-Wei Chang [ctb, cph] (libsvm C++-code), Hsuan-Tien Lin [ctb, cph] (libsvm C++-code), Ming-Hen Tsai [ctb, cph] (libsvm C++-code), Chia-Hua Ho [ctb, cph] (libsvm C++-code), Hsiang-Fu Yu [ctb, cph] (libsvm C++-code), David Meyer [ctb], Evgenia Dimitriadou [ctb], Kurt Hornik [ctb], Andreas Weingessel [ctb], Friedrich Leisch [ctb]
Maintainer: Tianchen Xu <tx2155 at columbia.edu>
BugReports: https://github.com/zjph602xtc/wsvm/issues
License: GPL-2 | GPL-3
URL: https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: WeightSVM results

Documentation:

Reference manual: WeightSVM.pdf
Vignettes: Weighted Support Vector Machine Formulation (source)

Downloads:

Package source: WeightSVM_1.7-16.tar.gz
Windows binaries: r-devel: WeightSVM_1.7-16.zip, r-release: WeightSVM_1.7-16.zip, r-oldrel: WeightSVM_1.7-16.zip
macOS binaries: r-release (arm64): WeightSVM_1.7-16.tgz, r-oldrel (arm64): WeightSVM_1.7-16.tgz, r-release (x86_64): WeightSVM_1.7-16.tgz, r-oldrel (x86_64): WeightSVM_1.7-16.tgz
Old sources: WeightSVM archive

Reverse dependencies:

Reverse depends: ECTSVR
Reverse imports: mpath
Reverse suggests: mlpwr

Linking:

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