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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:

Please use the canonical form https://CRAN.R-project.org/package=WeightSVM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.