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A collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the 'roahd' package. See Aleman-Gomez et al. (2021) <doi:10.48550/arXiv.2103.08874> for details about the concept of depthgram.
Version: | 1.4.3 |
Depends: | R (≥ 2.10) |
Imports: | scales, robustbase, magrittr, dplyr, ggplot2, plotly |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, withr, vdiffr |
Published: | 2021-11-04 |
DOI: | 10.32614/CRAN.package.roahd |
Author: | Nicholas Tarabelloni [aut],
Ana Arribas-Gil [aut],
Francesca Ieva [aut],
Anna Maria Paganoni [aut],
Juan Romo [aut],
Francesco Palma [ctb],
Aymeric Stamm |
Maintainer: | Aymeric Stamm <aymeric.stamm at math.cnrs.fr> |
BugReports: | https://github.com/astamm/roahd/issues |
License: | GPL-3 |
URL: | https://astamm.github.io/roahd/, https://github.com/astamm/roahd |
NeedsCompilation: | no |
Language: | en-US |
Citation: | roahd citation info |
Materials: | README NEWS |
CRAN checks: | roahd results |
Reference manual: | roahd.pdf |
Vignettes: |
roahd |
Package source: | roahd_1.4.3.tar.gz |
Windows binaries: | r-devel: roahd_1.4.3.zip, r-release: roahd_1.4.3.zip, r-oldrel: roahd_1.4.3.zip |
macOS binaries: | r-release (arm64): roahd_1.4.3.tgz, r-oldrel (arm64): roahd_1.4.3.tgz, r-release (x86_64): roahd_1.4.3.tgz, r-oldrel (x86_64): roahd_1.4.3.tgz |
Old sources: | roahd archive |
Reverse imports: | funcharts, squat |
Reverse suggests: | conformalInference.fd |
Please use the canonical form https://CRAN.R-project.org/package=roahd 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.