roahd: Robust Analysis of High Dimensional Data

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 ORCID iD [ctb, cre], Antonio Elias-Fernandez [ctb]
Maintainer: Aymeric Stamm <aymeric.stamm at>
License: GPL-3
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:, r-release:, r-oldrel:
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 dependencies:

Reverse imports: funcharts, squat
Reverse suggests: conformalInference.fd


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