Package: survivalsvm 0.0.6

Cesaire J. K. Fouodo

survivalsvm: Survival Support Vector Analysis

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.

Authors:Cesaire J. K. Fouodo [aut, cre]

survivalsvm_0.0.6.tar.gz
survivalsvm_0.0.6.zip(r-4.7)survivalsvm_0.0.6.zip(r-4.6)survivalsvm_0.0.6.zip(r-4.5)
survivalsvm_0.0.6.tgz(r-4.6-any)survivalsvm_0.0.6.tgz(r-4.5-any)
survivalsvm_0.0.6.tar.gz(r-4.7-any)survivalsvm_0.0.6.tar.gz(r-4.6-any)
survivalsvm_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
survivalsvm/json (API)

# Install 'survivalsvm' in R:

install.packages('survivalsvm', repos = c('https://imbs-hl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/imbs-hl/survivalsvm/issues

On CRAN:

5.85 score 20 stars 2 packages 98 scripts 1.2k downloads 1 mentions 15 exports 60 dependencies

Last updated from:ea9b49e145. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	144
source / vignettes	OK	813
linux-release-x86_64	OK	150
macos-release-arm64	OK	105
macos-oldrel-arm64	OK	113
windows-devel	OK	136
windows-release	OK	111
windows-oldrel	OK	112
wasm-release	OK	126