roahd

R package roahd: Robust Analysis of High Dimensional Data. 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.

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Oluwasegun Ojo, Rosa E. Lillo, Antonio Fernández Anta: Outlier Detection for Functional Data with R Package fdaoutlier (2021) arXiv
  2. Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
  3. Ieva, Francesca; Paganoni, Anna Maria: Component-wise outlier detection methods for robustifying multivariate functional samples (2020)
  4. Martino, Andrea; Guatteri, Giuseppina; Paganoni, Anna Maria: Hidden Markov models for multivariate functional data (2020)
  5. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  6. Ghiglietti, Andrea; Ieva, Francesca; Paganoni, Anna Maria: Statistical inference for stochastic processes: two-sample hypothesis tests (2017)