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WeightSVM  

Subject Weighted Support Vector Machines
View on CRAN: Click here


Download and install WeightSVM package within the R console
Install from CRAN:
install.packages("WeightSVM")

Install from Github:
library("remotes")
install_github("cran/WeightSVM")

Install by package version:
library("remotes")
install_version("WeightSVM", "1.7-16")



Attach the package and use:
library("WeightSVM")
Maintained by
Tianchen Xu
[Scholar Profile | Author Map]
First Published: 2020-04-05
Latest Update: 2022-07-14
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.
How to cite:
Tianchen Xu (2020). WeightSVM: Subject Weighted Support Vector Machines. R package version 1.7-16, https://cran.r-project.org/web/packages/WeightSVM. Accessed 03 May. 2025.
Previous versions and publish date:
1.7-3 (2020-04-05 18:00), 1.7-4 (2020-04-18 09:40), 1.7-5 (2020-05-28 07:20), 1.7-9 (2021-10-11 11:20), 1.7-11 (2022-07-14 13:40), 1.7-13 (2023-12-04 00:10)
Other packages that cited WeightSVM R package
View WeightSVM citation profile
Other R packages that WeightSVM depends, imports, suggests or enhances
Complete documentation for WeightSVM
Functions, R codes and Examples using the WeightSVM R package
Some associated functions: plot.tune_wsvm . plot.wsvm . predict.wsvm . tune.control . tune_wsvm . wsvm . 
Some associated R codes: tune_wsvm.R . wsvm.R .  Full WeightSVM package functions and examples
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