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-any)survivalsvm_0.0.6.zip(r-4.6-any)survivalsvm_0.0.6.zip(r-4.5-any)
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:

5.81 score 20 stars 2 packages 100 scripts 1.1k downloads 1 mentions 15 exports 60 dependencies

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

Target	Result	Time
linux-devel	OK	159
source / vignettes	OK	234
linux-release	OK	163
macos-release	OK	96
macos-oldrel	OK	103
windows-devel	OK	94
windows-release	OK	94
windows-oldrel	OK	104
wasm-release	OK	138