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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:17543d5ad6. Checks:2 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 28 2025 |
| R-4.5-linux | OK | Jan 28 2025 |
Exports:merge_selective_inferencetest_multimodtest_selective_inference
Dependencies:clidiptestdplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Merged version of the selective test | merge_selective_inference |
| Multimodality test for post clustering variable involvement | test_multimod |
| Selective inference for post-clustering variable involvement | test_selective_inference |