Package: WeightSVM Version: 1.7-16 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] (), 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 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 Packaged: 2026-07-21 07:48:58 UTC; root Repository: https://zjph602xtc.r-universe.dev Date/Publication: 2024-10-11 16:31:15 UTC RemoteUrl: https://github.com/zjph602xtc/wsvm RemoteRef: HEAD RemoteSha: 408bae5ca991a3550c709b64450402d8f7f2be50