roahd: roahd: RObust Analysis for High dimensional Data.

In roahd: Robust Analysis of High Dimensional Data

Description

A package meant to collect and provide methods for the analysis of univariate and multivariate functional datasets through the use of robust methods, with special focus on computation of depths and outlier detection. Special care was devoted to the efficient implementation of robust methods, so that they can be employed also in high-dimensional datasets,

Author(s)

Maintainer: Aymeric Stamm [e-mail] (ORCID) [contributor]

Authors:

• Nicholas Tarabelloni [e-mail]

• Ana Arribas-Gil [e-mail]

• Francesca Ieva [e-mail]

• Anna Maria Paganoni [e-mail]

• Juan Romo [e-mail]

Other contributors:

• Francesco Palma [e-mail] [contributor]

• Antonio Elias-Fernandez [contributor]

See Also

Useful links:

• https://astamm.github.io/roahd/

• https://github.com/astamm/roahd

• Report bugs at https://github.com/astamm/roahd/issues

roahd documentation built on Nov. 4, 2021, 1:07 a.m.