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SVMMaj
View on CRAN: Click
here
Download and install SVMMaj package within the R console
Install from CRAN:
install.packages("SVMMaj")
Install from Github:
library("remotes")
install_github("cran/SVMMaj") Install by package version:
library("remotes")
install_version("SVMMaj", "0.2.9.4") Attach the package and use:
library("SVMMaj")
Maintained by
Hoksan Yip
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-13
Latest Update: 2024-11-22
Description:
Implements the SVM-Maj algorithm to train data with support vector machine
as described in Groenen et al. (2008) .
This algorithm uses two efficient updates, one for linear kernel and one
for the nonlinear kernel.
How to cite:
Hoksan Yip (2011). SVMMaj: Implementation of the SVM-Maj Algorithm. R package version 0.2.9.4, https://cran.r-project.org/web/packages/SVMMaj. Accessed 09 Oct. 2026.
Previous versions and publish date:
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Other R packages that SVMMaj depends,
imports, suggests or enhances
Complete documentation for SVMMaj
Functions, R codes and Examples using
the SVMMaj R package
Some associated functions: AusCredit . X.svmmaj . auc . classification . diabetes . getHinge . isb . isplinebasis . normalize . plot.hinge . plot.svmmajcrossval . plotWeights . predict.svmmaj . predict.transDat . print.svmmaj . print.svmmajcrossval . roccurve . supermarket1996 . svmmaj . svmmajcrossval . transformdata . voting .
Some associated R codes: classification.R . data.R . hinge.R . ispline.R . normalize.R . plotsvmmaj.R . predict.R . printsvmmaj.R . roccurve.R . svmmaj.R . svmmajcrossval.R . update.R . Full SVMMaj package functions and examples
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