Intuition | Mathematical formulation | The pivot | Quantifying the folding mechanism | The final decision | Higher dimensions | References
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-4.7-any)Rfolding_1.0.tar.gz(r-4.6-any)
Rfolding_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:7585a6de46. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 181 | ||
| source / vignettes | OK | 187 | ||
| linux-release-x86_64 | OK | 180 | ||
| wasm-release | OK | 98 |
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 |