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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=roahd to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4