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ehymet

0.1.1

Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

0packages depend
2.2Kdownloads / year
88.2%test coverage
13/13checks pass

Overview

About
Maintained by Belen PulidoFirst published 2024-06-142 releasesCRAN page ↗GitHub ↗

Implements methods for functional data analysis based on the epigraph and hypograph indices. These methods transform functional datasets, whether in one or multiple dimensions, into multivariate datasets. The transformation involves applying the epigraph, hypograph, and their modified versions to both the original curves and their first and second derivatives. The calculation of these indices is tailored to the dimensionality of the functional dataset, with special considerations for dependencies between dimensions in multidimensional cases. This approach extends traditional multivariate data analysis techniques to the functional data setting. A key application of this package is the EHyClus method, which enhances clustering analysis for functional data across one or multiple dimensions using the epigraph and hypograph indices. See Pulido et al. (2023) doi:10.1007/s11222-023-10213-7 and Pulido et al. (2024) doi:10.48550/arXiv.2307.16720.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.21
88.2%
Coverage · measured lines
100%
Documentation · exports
4
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 144 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #21,192 · ~6/day · ~180/mo
Daily download trend is not available in this view yet.
14230 days
52190 days
2.2K1 year
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Also on668 r2u16 autocran

Repository

Repository
0Stars
0Forks
5Open issues
0Open PRs
0Releases
Last activity 2025-07-02

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/bpulidob/ehymet on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1
Imports (4)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Other (1)
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1Latest
    2024-11-27 · current release · diff ↗
  • 0.1.0
    2024-06-14
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-06-14
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1
Download size
339 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ehymet")
Pulido, B., & Diez, J. I. (2024). ehymet: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ehymet

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ehymet version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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