Robust Analysis of High Dimensional Data R package roahd version 1.4.3 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) <arXiv:2103.08874> for details about the concept of depthgram. Software Depends: R (>= 2.10) Imports: scales, robustbase, magrittr, dplyr, ggplot2, plotly Suggests: testthat (>= 3.0.0), knitr, rmarkdown, withr, vdiffr Aymeric Stamm <aymeric.stamm@math.cnrs.fr> Comprehensive R Archive Network (CRAN) Nicholas Tarabelloni [aut], Ana Arribas-Gil [aut], Francesca Ieva [aut], Anna Maria Paganoni [aut], Juan Romo [aut], Francesco Palma [ctb], Aymeric Stamm [ctb, cre] (ORCID: <https://orcid.org/0000-0002-8725-3654>), Antonio Elias-Fernandez [ctb] GPL-3 2021-11-04 application/tgz https://CRAN.R-project.org/package=roahd doi:10.32614/CRAN.package.roahd en-US