The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ehymet: Methodologies for Functional Data Based on the Epigraph and Hypograph Indices

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>.

Version: 0.1.1
Depends: R (≥ 4.1)
Imports: clusterCrit, kernlab, stats, tf
Suggests: ggplot2, knitr, MASS, parallel, rmarkdown, testthat (≥ 3.0.0), tidyr
Published: 2024-11-26
DOI: 10.32614/CRAN.package.ehymet
Author: Belen Pulido ORCID iD [aut, cre], Jose Ignacio Diez [ctr]
Maintainer: Belen Pulido <bpulidob4 at gmail.com>
BugReports: https://github.com/bpulidob/ehymet/issues
License: MIT + file LICENSE
URL: https://github.com/bpulidob/ehymet, https://bpulidob.github.io/ehymet/
NeedsCompilation: no
Citation: ehymet citation info
Materials: README NEWS
CRAN checks: ehymet results

Documentation:

Reference manual: ehymet.pdf
Vignettes: Introduction to ehymet (source)
Clustering through the epigraph and hypograph indices (source)

Downloads:

Package source: ehymet_0.1.1.tar.gz
Windows binaries: r-devel: ehymet_0.1.1.zip, r-release: ehymet_0.1.1.zip, r-oldrel: ehymet_0.1.1.zip
macOS binaries: r-release (arm64): ehymet_0.1.1.tgz, r-oldrel (arm64): ehymet_0.1.1.tgz, r-release (x86_64): ehymet_0.1.1.tgz, r-oldrel (x86_64): ehymet_0.1.1.tgz
Old sources: ehymet archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ehymet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.