Package: VALIDICLUST 0.1.0

Benjamin Hivert

VALIDICLUST: VALID Inference for Clusters Separation Testing

Given a partition resulting from any clustering algorithm, the implemented tests allow valid post-clustering inference by testing if a given variable significantly separates two of the estimated clusters. Methods are detailed in: Hivert B, Agniel D, Thiebaut R & Hejblum BP (2022). "Post-clustering difference testing: valid inference and practical considerations", <arxiv:2210.13172>.

Authors:Benjamin Hivert

VALIDICLUST_0.1.0.tar.gz
VALIDICLUST_0.1.0.tar.gz(r-4.5-noble)VALIDICLUST_0.1.0.tar.gz(r-4.4-noble)
VALIDICLUST_0.1.0.tgz(r-4.4-emscripten)VALIDICLUST_0.1.0.tgz(r-4.3-emscripten)
VALIDICLUST.pdf |VALIDICLUST.html
VALIDICLUST/json (API)
NEWS

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

Peer review:

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

1.81 score 13 scripts 193 downloads 3 exports 17 dependencies

Last updated 2 years agofrom:17543d5ad6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linuxOKNov 29 2024

Exports:merge_selective_inferencetest_multimodtest_selective_inference

Dependencies:clidiptestdplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr