Package: Rfolding 1.0
Alban Siffer
Rfolding: The Folding Test of Unimodality
The basic algorithm to perform the folding test of unimodality. Given a dataset X (d dimensional, n samples), the test checks whether the distribution of the data are rather unimodal or rather multimodal. This package stems from the following research publication: Siffer Alban, Pierre-Alain Fouque, Alexandre Termier, and Christine Largouët. "Are your data gathered?" In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery Data Mining, pp. 2210-2218. ACM, 2018. <doi:10.1145/3219819.3219994>.
Authors:
Rfolding_1.0.tar.gz
Rfolding_1.0.tar.gz(r-4.5-noble)Rfolding_1.0.tar.gz(r-4.4-noble)
Rfolding_1.0.tgz(r-4.4-emscripten)Rfolding_1.0.tgz(r-4.3-emscripten)
Rfolding.pdf |Rfolding.html✨
Rfolding/json (API)
# Install 'Rfolding' in R: |
install.packages('Rfolding', 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 6 years agofrom:7585a6de46. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
Exports:folding.ratiofolding.statisticsfolding.testfolding.test.boundfolding.test.pvaluepivot.approx
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Computes the folding ratio of the input data | folding.ratio |
Computes the folding statistics of the input data | folding.statistics |
Perform the folding test of unimodality | folding.test |
Computes the confidence bound for the significance level p | folding.test.bound |
Computes the p-value of the folding test | folding.test.pvalue |
Computes the pivot s_2 (approximate pivot) | pivot.approx |