Package: WeightSVM 1.7-16

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.

Authors:Tianchen Xu [aut, cre], Chih-Chung Chang [ctb, cph], Chih-Chen Lin [ctb, cph], Ming-Wei Chang [ctb, cph], Hsuan-Tien Lin [ctb, cph], Ming-Hen Tsai [ctb, cph], Chia-Hua Ho [ctb, cph], Hsiang-Fu Yu [ctb, cph], David Meyer [ctb], Evgenia Dimitriadou [ctb], Kurt Hornik [ctb], Andreas Weingessel [ctb], Friedrich Leisch [ctb]

WeightSVM_1.7-16.tar.gz
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WeightSVM_1.7-16.tgz(r-4.6-x86_64)WeightSVM_1.7-16.tgz(r-4.6-arm64)WeightSVM_1.7-16.tgz(r-4.5-x86_64)WeightSVM_1.7-16.tgz(r-4.5-arm64)
WeightSVM_1.7-16.tar.gz(r-4.7-arm64)WeightSVM_1.7-16.tar.gz(r-4.7-x86_64)WeightSVM_1.7-16.tar.gz(r-4.6-arm64)WeightSVM_1.7-16.tar.gz(r-4.6-x86_64)
WeightSVM_1.7-16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
WeightSVM/json (API)

# Install 'WeightSVM' in R:

install.packages('WeightSVM', repos = c('https://zjph602xtc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zjph602xtc/wsvm/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

6.10 score 4 stars 8 packages 26 scripts 520 downloads 4 exports 0 dependencies

Last updated from:408bae5ca9. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	141
linux-devel-x86_64	OK	108
source / vignettes	OK	160
linux-release-arm64	OK	132
linux-release-x86_64	OK	106
macos-release-arm64	OK	72
macos-release-x86_64	OK	156
macos-oldrel-arm64	OK	91
macos-oldrel-x86_64	OK	170
windows-devel	OK	74
windows-release	OK	80
windows-oldrel	OK	85
wasm-release	OK	88

Exports:best.tune_wsvm tune_wsvm tune.control wsvm

Dependencies:

Weighted Support Vector Machine Formulation

Rendered fromwsvmdoc.Rnwusingutils::Sweave

Last update: 2020-05-28
Started: 2020-05-28

Help page	Topics
Plot Tuning Object	plot.tune_wsvm
Plot WSVM Objects	plot.wsvm
Predict Method for Subject Weighted Support Vector Machines	predict.wsvm
Parameter Tuning of Functions Using Grid Search	best.tune_wsvm print.summary.tune_wsvm print.tune_wsvm summary.tune_wsvm tune_wsvm
Control Parameters for the tune/tune_wsvm Function	tune.control
Subject Weighted Support Vector Machines	coef.wsvm print.summary.wsvm print.wsvm summary.wsvm wsvm wsvm.default wsvm.formula

Package: WeightSVM 1.7-16

WeightSVM: Subject Weighted Support Vector Machines

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)