Package: supclust 1.1-1

Martin Maechler

supclust: Supervised Clustering of Predictor Variables Such as Genes

Methodology for supervised grouping aka "clustering" of potentially many predictor variables, such as genes etc, implementing algorithms 'PELORA' and 'WILMA'.

Authors:Marcel Dettling <[email protected]> and Martin Maechler

supclust_1.1-1.tar.gz
supclust_1.1-1.tar.gz(r-4.5-noble)supclust_1.1-1.tar.gz(r-4.4-noble)
supclust_1.1-1.tgz(r-4.4-emscripten)supclust_1.1-1.tgz(r-4.3-emscripten)
supclust.pdf |supclust.html✨
supclust/json (API)

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

Peer review:

Bug tracker:https://github.com/mmaechler/supclust/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • leukemia.x - A part of the Golub's famous AML/ALL-leukemia dataset
  • leukemia.y - A part of the Golub's famous AML/ALL-leukemia dataset
  • leukemia.z - A part of the Golub's famous AML/ALL-leukemia dataset

2.85 score 28 scripts 260 downloads 5 mentions 11 exports 3 dependencies

Last updated 3 years agofrom:2bfe21d479. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 07 2024
R-4.5-linux-x86_64OKOct 07 2024

Exports:aggtreesdldalogregmarginnnrpelorascoresign.changesign.flipstandardize.geneswilma

Dependencies:classMASSrpart