The R Journal: article published in 2019, volume 11:2

roahd Package: Robust Analysis of High Dimensional Data
Francesca Ieva, Anna Maria Paganoni, Juan Romo and Nicholas Tarabelloni , The R Journal (2019) 11:2, pages 291-307.

Abstract The focus of this paper is on the open-source R package roahd (RObust Analysis of High dimensional Data), see Tarabelloni et al. (2017). roahd has been developed to gather recently proposed statistical methods that deal with the robust inferential analysis of univariate and multivariate functional data. In particular, efficient methods for outlier detection and related graphical tools, methods to represent and simulate functional data, as well as inferential tools for testing differences and dependency among families of curves will be discussed, and the associated functions of the package will be described in details.

Received: 2018-12-18; online 2019-08-17, supplementary material, (1.3 KiB)
CRAN packages: R

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@article{RJ-2019-032,
  author = {Francesca Ieva and Anna Maria Paganoni and Juan Romo and
          Nicholas Tarabelloni},
  title = {{roahd Package: Robust Analysis of High Dimensional Data}},
  year = {2019},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2019-032},
  url = {https://doi.org/10.32614/RJ-2019-032},
  pages = {291--307},
  volume = {11},
  number = {2}
}