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-4.5)SurvivalClusteringTree_1.0.zip(r-4.4)SurvivalClusteringTree_1.0.zip(r-4.3)
SurvivalClusteringTree_1.0.tgz(r-4.4-x86_64)SurvivalClusteringTree_1.0.tgz(r-4.4-arm64)SurvivalClusteringTree_1.0.tgz(r-4.3-x86_64)SurvivalClusteringTree_1.0.tgz(r-4.3-arm64)
SurvivalClusteringTree_1.0.tar.gz(r-4.5-noble)SurvivalClusteringTree_1.0.tar.gz(r-4.4-noble)
SurvivalClusteringTree_1.0.tgz(r-4.4-emscripten)SurvivalClusteringTree_1.0.tgz(r-4.3-emscripten)
SurvivalClusteringTree.pdf |SurvivalClusteringTree.html✨
SurvivalClusteringTree/json (API)

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

Peer review:

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

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

On CRAN:

3.70 score 2 scripts 165 downloads 10 exports 33 dependencies

Last updated 1 years agofrom:621fb090ed. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-win-x86_64OKNov 05 2024
R-4.5-linux-x86_64OKNov 05 2024
R-4.4-win-x86_64OKNov 05 2024
R-4.4-mac-x86_64OKNov 05 2024
R-4.4-mac-aarch64OKNov 05 2024
R-4.3-win-x86_64OKNov 05 2024
R-4.3-mac-x86_64OKNov 05 2024
R-4.3-mac-aarch64OKNov 05 2024

Exports:plot_survival_treepredict_distance_forestpredict_distance_forest_matrixpredict_distance_treepredict_distance_tree_matrixpredict_weightssurvival_forestsurvival_forest_matrixsurvival_treesurvival_tree_matrix

Dependencies:clicommonmarkcurldplyrfansiformula.toolsgenericsgluegridtextjpeglatticelifecyclemagrittrmarkdownMatrixoperator.toolspillarpkgconfigpngR6RcppRcppArmadillorlangstringistringrsurvivaltibbletidyselectutf8vctrswithrxfunxml2

User Guide to Package SurvivalClusteringTree

Rendered fromuser-guide.Rmdusingknitr::rmarkdownon Nov 05 2024.

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