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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.

copied from cf-post-staging / r-survivalsvm
Type Size Name Uploaded Downloads Labels
conda 314.7 kB | noarch/r-survivalsvm-0.0.6-r44hc72bb7e_1.conda  10 days and 1 hour ago 45 main
conda 314.2 kB | noarch/r-survivalsvm-0.0.6-r45hc72bb7e_1.conda  10 days and 1 hour ago 53 main
conda 315.3 kB | noarch/r-survivalsvm-0.0.6-r44hc72bb7e_0.conda  5 months and 27 days ago 371 main
conda 298.6 kB | noarch/r-survivalsvm-0.0.6-r43hc72bb7e_0.conda  5 months and 27 days ago 377 main

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