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ramsvm
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", "2.3")
Attach the package and use:
library("ramsvm")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-23
Latest Update: 2022-06-06
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 2.3, https://cran.r-project.org/web/packages/ramsvm. Accessed 23 Apr. 2025.
Previous versions and publish date:
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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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