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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) <arXiv:2103.08874> for details about the concept of depthgram.
Package details |
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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] (<https://orcid.org/0000-0002-8725-3654>), Antonio Elias-Fernandez [ctb] |
Maintainer | Aymeric Stamm <aymeric.stamm@math.cnrs.fr> |
License | GPL-3 |
Version | 1.4.3 |
URL | https://astamm.github.io/roahd/ https://github.com/astamm/roahd |
Package repository | View on CRAN |
Installation |
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