Other packages > Find by keyword >

survivalsvm  

Survival Support Vector Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("survivalsvm", "0.0.6")



Attach the package and use:
library("survivalsvm")
Maintained by
Cesaire Fouodo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-15
Latest Update: 2025-04-04
Description:
Performs support vectors analysis for data sets with survival outcome. Three approaches are available in the package: The regression approach takes censoring into account when formulating the inequality constraints of the support vector problem. In the ranking approach, the inequality constraints set the objective to maximize the concordance index for comparable pairs of observations. The hybrid approach combines the regression and ranking constraints in the same model.
How to cite:
Cesaire Fouodo (2017). survivalsvm: Survival Support Vector Analysis. R package version 0.0.6, https://cran.r-project.org/web/packages/survivalsvm. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:11), 0.0.2 (2017-06-15 00:20), 0.0.3 (2017-11-20 14:15), 0.0.4 (2018-01-08 18:11), 0.0.5 (2018-02-05 08:01), 0.0.6 (2025-04-04 16:20)
Other packages that cited survivalsvm R package
View survivalsvm citation profile
Other R packages that survivalsvm depends, imports, suggests or enhances
Complete documentation for survivalsvm
Functions, R codes and Examples using the survivalsvm R package
Some associated functions: Diffmatrix . HybridObj . Kernel . RegFitObj . VB1FitObj . VB2FitObj . conindex . getAlpha.VB1FitObj . getAlpha.default . getAlpha . getBeta.HybridObj . getBeta.RegFitObj . getBeta.default . getBeta . getBetastar.HybridObj . getBetastar.default . getBetastar . getBinca.default . getBincat.Kernel . getBincat . getDelta.HybridObj . getDelta.default . getDelta . getDifMat.VB1FitObj . getDifMat.default . getDifMat . getKernel.RegFitObj . getKernel.VB1FitObj . getKernel.default . getKernel . getKernpar.Kernel . getKernpar.default . getKernpar . getLogrank . getMat.Diffmatrix . getMat.Kernel . getMat.default . getMat . getOptMeth.RegFitObj . getOptMeth.VB1FitObj . getOptMeth.default . getOptMeth . getSV.RegFitObj . getSV.default . getSV . getType.Diffmatrix . getType.Kernel . getType.default . getType . getXtrain.VB1FitObj . getXtrain.default . getXtrain . getb0.RegFitObj . getb0 . hybridFit . kernelMatrix . logrank . makediff1 . makediff2 . makediff3 . predict.survivalsvm . predictHybrid . predictRegFitObj . predictVB1FitObj . predictVB2FitObj . print.survivalsvm . print.survivalsvmprediction . printHybrid . printRegFitObj . printVB1FitObj . printVB2FitObj . regFit . setAlpha.VB1FitObj . setAlpha.default . setAlpha . setBeta.HybridObj . setBeta.RegFitObj . setBeta.default . setBeta . setBetastar.HybridObj . setBetastar.default . setBetastar . setBincat.Kernel . setBincat.default . setBincat . setDelta.default . setDelta . setDifMat.VB1FitObj . setDifMat.default . setDifMat . setKernel.RegFitObj . setKernel.VB1FitObj . setKernel.default . setKernel . setKernpar.Kernel . setKernpar.default . setKernpar . setMat.Diffmatrix . setMat.Kernel . setMat . setMatrix.default . setOptMeth.RegFitObj . setOptMeth.VB1FitObj . setOptMeth.default . setOptMeth . setSV.RegFitObj . setSV.default . setSV . setType.Diffmatrix . setType.Kernel . setType.default . setType . setXtrain.VB1FitObj . setXtrain.default . setXtrain . setb0.RegFitObj . setb0.default . setb0 . survivalsvm . vanbelle1Fit . vanbelle2Fit . 
Some associated R codes: Diffmatrix.R . hybrid.R . kernels.R . perfomances.R . predictions.R . prints.R . regression.R . survivalsvm.R . vanbelle1.R . vanbelle2.R .  Full survivalsvm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA