Package: SurvivalClusteringTree 1.1.1

Lu You

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. Details about this method is described in <https://github.com/luyouepiusf/SurvivalClusteringTree>.

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

SurvivalClusteringTree_1.1.1.tar.gz
SurvivalClusteringTree_1.1.1.tar.gz(r-4.5-noble)SurvivalClusteringTree_1.1.1.tar.gz(r-4.4-noble)
SurvivalClusteringTree_1.1.1.tgz(r-4.4-emscripten)SurvivalClusteringTree_1.1.1.tgz(r-4.3-emscripten)
SurvivalClusteringTree.pdf |SurvivalClusteringTree.html✨
SurvivalClusteringTree/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 2 scripts 193 downloads 11 exports 33 dependencies

Last updated 6 months agofrom:d74f63e1aa. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-linux-x86_64OKNov 21 2024

Exports:plot_survival_treepredict_distance_forestpredict_distance_forest_matrixpredict_distance_treepredict_distance_tree_matrixpredict_weightspredict_weights_matrixsurvival_forestsurvival_forest_matrixsurvival_treesurvival_tree_matrix

Dependencies:clicommonmarkcurldplyrfansiformula.toolsgenericsgluegridtextjpeglatticelifecyclemagrittrmarkdownMatrixoperator.toolspillarpkgconfigpngR6RcppRcppArmadillorlangstringistringrsurvivaltibbletidyselectutf8vctrswithrxfunxml2

User Guide to Package SurvivalClusteringTree

Rendered fromuser-guide.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2023-09-11
Started: 2023-09-11