Package: SurvivalClusteringTree 1.0

SurvivalClusteringTree: Clustering 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 algorithms to define clusters.

Authors:Lu You [aut, cre], Lauric Ferrat [aut], Hemang Parikh [aut], Yanan Huo [aut], Jeffrey Krischer [ctb], Maria Redondo [ctb], Richard Oram [ctb], Andrea Steck [ctb]

SurvivalClusteringTree_1.0.tar.gz
SurvivalClusteringTree_1.0.zip(r-4.7)SurvivalClusteringTree_1.0.zip(r-4.6)SurvivalClusteringTree_1.0.zip(r-4.5)
SurvivalClusteringTree_1.0.tgz(r-4.6-x86_64)SurvivalClusteringTree_1.0.tgz(r-4.6-arm64)SurvivalClusteringTree_1.0.tgz(r-4.5-x86_64)SurvivalClusteringTree_1.0.tgz(r-4.5-arm64)
SurvivalClusteringTree_1.0.tar.gz(r-4.7-arm64)SurvivalClusteringTree_1.0.tar.gz(r-4.7-x86_64)SurvivalClusteringTree_1.0.tar.gz(r-4.6-arm64)SurvivalClusteringTree_1.0.tar.gz(r-4.6-x86_64)
SurvivalClusteringTree_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SurvivalClusteringTree/json (API)

# Install 'SurvivalClusteringTree' in R:
install.packages('SurvivalClusteringTree', repos = c('https://luyouepiusf.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/luyouepiusf/survivalclusteringtree/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.70 score 2 scripts 223 downloads 10 exports 33 dependencies

Last updated from:621fb090ed. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK170
linux-devel-x86_64OK165
source / vignettesOK187
linux-release-arm64OK164
linux-release-x86_64OK158
macos-release-arm64OK217
macos-release-x86_64OK300
macos-oldrel-arm64OK239
macos-oldrel-x86_64OK251
windows-develOK178
windows-releaseOK134
windows-oldrelOK124
wasm-releaseOK117

Exports:plot_survival_treepredict_distance_forestpredict_distance_forest_matrixpredict_distance_treepredict_distance_tree_matrixpredict_weightssurvival_forestsurvival_forest_matrixsurvival_treesurvival_tree_matrix

Dependencies:clicommonmarkcurldplyrformula.toolsgenericsgluegridtextjpeglatticelifecyclelitedownmagrittrmarkdownMatrixoperator.toolspillarpkgconfigpngR6RcppRcppArmadillorlangstringistringrsurvivaltibbletidyselectutf8vctrswithrxfunxml2

User Guide to Package SurvivalClusteringTree

Rendered fromuser-guide.Rmdusingknitr::rmarkdownon May 06 2026.

Last update: 2023-07-27
Started: 2023-07-27