Package: survivalsvm 0.0.5

Cesaire 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

survivalsvm_0.0.5.tar.gz
survivalsvm_0.0.5.zip(r-4.5)survivalsvm_0.0.5.zip(r-4.4)survivalsvm_0.0.5.zip(r-4.3)
survivalsvm_0.0.5.tgz(r-4.4-any)survivalsvm_0.0.5.tgz(r-4.3-any)
survivalsvm_0.0.5.tar.gz(r-4.5-noble)survivalsvm_0.0.5.tar.gz(r-4.4-noble)
survivalsvm_0.0.5.tgz(r-4.4-emscripten)survivalsvm_0.0.5.tgz(r-4.3-emscripten)
survivalsvm.pdf |survivalsvm.html✨
survivalsvm/json (API)
NEWS

Peer review:

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

On CRAN:

12 exports 15 stars 2.13 score 69 dependencies 1 dependents 1 mentions 44 scripts 779 downloads

Last updated 7 years agofrom:d0eec0d49f. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:conindexgetLogrankhybridFitkernelMatrixlogrankmakediff1makediff2makediff3regFitsurvivalsvmvanbelle1Fitvanbelle2Fit

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacedata.tabledigestevaluatefansifarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigpracmaquadprogR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapisassscalesstringistringrsurvivaltibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml