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ramsvm  

Reinforced Angle-Based Multicategory Support Vector Machines
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ramsvm", "2.4")



Attach the package and use:
library("ramsvm")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-23
Latest Update: 2025-05-04
Description:
Provides a solution path for Reinforced Angle-based Multicategory Support Vector Machines, with linear learning, polynomial learning, and Gaussian kernel learning. C. Zhang, Y. Liu, J. Wang and H. Zhu. (2016) .
How to cite:
Shannon T. Holloway (2016). ramsvm: Reinforced Angle-Based Multicategory Support Vector Machines. R package version 2.4, https://cran.r-project.org/web/packages/ramsvm. Accessed 11 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:48), 2.0 (2016-01-23 00:33), 2.1 (2020-01-10 11:50), 2.2 (2020-05-28 19:20), 2.3 (2022-06-07 01:10)
Other packages that cited ramsvm R package
View ramsvm citation profile
Other R packages that ramsvm depends, imports, suggests or enhances
Complete documentation for ramsvm
Functions, R codes and Examples using the ramsvm R package
Some associated functions: predict.ramsvm . ramsvm . 
Some associated R codes: AllClasses.R . Kmat.R . RAMSVM_solve.R . XI.gen.R . Y.matrix.gen.R . beta.R . feFunc.R . methods-predict.R . pred.R . ramsvm.R . xinner.R .  Full ramsvm package functions and examples
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