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.zip(r-4.7-any)VALIDICLUST_0.1.0.zip(r-4.6-any)
VALIDICLUST_0.1.0.tar.gz(r-4.7-any)VALIDICLUST_0.1.0.tar.gz(r-4.6-any)
VALIDICLUST_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
VALIDICLUST/json (API)

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

On CRAN:

Conda:

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

1.88 score 15 scripts 246 downloads 3 exports 16 dependencies

Last updated from:17543d5ad6. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK92
source / vignettesOK139
linux-releaseOK95
windows-develOK66
windows-releaseOK69
wasm-releaseOK89

Exports:merge_selective_inferencetest_multimodtest_selective_inference

Dependencies:clidiptestdplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr