Package: WeightSVM
Version: 1.7-13
Title: Subject Weighted Support Vector Machines
Imports: graphics, grDevices, stats, methods, utils
Suggests: SparseM, xtable, Matrix, MASS, e1071, knitr, slam, kernlab
Author: Tianchen Xu [aut, cre] (<https://orcid.org/0000-0002-0102-7630>),
  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@columbia.edu>
Description: 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.
URL:
        https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances
BugReports: https://github.com/zjph602xtc/wsvm/issues
License: GPL-2 | GPL-3
LazyLoad: yes
NeedsCompilation: yes
VignetteBuilder: knitr
Repository: CRAN
Packaged: 2023-12-03 20:45:10 UTC; Peter
Date/Publication: 2023-12-03 23:10:05 UTC
Built: R 4.4.0; x86_64-apple-darwin22.6.0; 2024-04-30 09:08:48 UTC; unix
