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:

5.77 score 20 stars 2 packages 98 scripts 970 downloads 1 mentions 15 exports 60 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	159
source / vignettes	OK	308
linux-release-x86_64	OK	165
macos-release-arm64	OK	113
macos-oldrel-arm64	OK	118
windows-devel	OK	101
windows-release	OK	98
windows-oldrel	OK	113
wasm-release	OK	125