SurvivalClusteringTree
cranv1.1.3Clustering Analysis Using Survival Tree and Forest Algorithms. An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering
License GPL (>= 2)0 versions1 maintainers5 deps60 weekly dl
https://CRAN.R-project.org/package=SurvivalClusteringTree47
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curl https://depscope.dev/api/check/cran/SurvivalClusteringTreeFirst published · 2026-02-25 06:44:34
Last updated · 2026-02-25T05:10:02+00:00