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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
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 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

Documentation:

Reference manual: roahd.pdf
Vignettes: roahd

Downloads:

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 dependencies:

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

Linking:

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.
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