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 
[ctb, cre],
Antonio Elias-Fernandez [ctb] |
| 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 |