Rainbow

R package rainbow: Rainbow Plots, Bagplots and Boxplots for Functional Data, Functions and data sets for functional data display and outlier detection.

Keywords for this software

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

References in zbMATH (referenced in 32 articles )

Showing results 1 to 20 of 32.
Sorted by year (citations)

1 2 next

  1. Kolkiewicz, Adam; Rice, Gregory; Xie, Yijun: Projection pursuit based tests of normality with functional data (2021)
  2. Dai, Wenlin; Mrkvička, Tomáš; Sun, Ying; Genton, Marc G.: Functional outlier detection and taxonomy by sequential transformations (2020)
  3. Ieva, Francesca; Paganoni, Anna Maria: Component-wise outlier detection methods for robustifying multivariate functional samples (2020)
  4. Dai, Wenlin; Genton, Marc G.: Directional outlyingness for multivariate functional data (2019)
  5. Kosiorowski, Daniel; Rydlewski, Jerzy P.; Snarska, Małgorzata: Detecting a structural change in functional time series using local Wilcoxon statistic (2019)
  6. Martínez-Hernández, Israel; Genton, Marc G.; González-Farías, Graciela: Robust depth-based estimation of the functional autoregressive model (2019)
  7. Nagy, Stanislav; Ferraty, Frédéric: Data depth for measurable noisy random functions (2019)
  8. Shang, Han Lin: Dynamic principal component regression: application to age-specific mortality forecasting (2019)
  9. Shang, Han Lin; Yang, Yang; Kearney, Fearghal: Intraday forecasts of a volatility index: functional time series methods with dynamic updating (2019)
  10. Tian, Yahui; Gel, Yulia R.: Fusing data depth with complex networks: community detection with prior information (2019)
  11. Barrow, Devon; Kourentzes, Nikolaos: The impact of special days in call arrivals forecasting: a neural network approach to modelling special days (2018)
  12. Clara Happ: Object-Oriented Software for Functional Data (2017) arXiv
  13. Nanty, Simon; Helbert, Céline; Marrel, Amandine; Pérot, Nadia; Prieur, Clémentine: Uncertainty quantification for functional dependent random variables (2017)
  14. Serfling, Robert; Wijesuriya, Uditha: Depth-based nonparametric description of functional data, with emphasis on use of spatial depth (2017)
  15. Shang, Han Lin; Haberman, Steven: Grouped multivariate and functional time series forecasting: an application to annuity pricing (2017)
  16. Martin-Barragan, B.; Lillo, R. E.; Romo, J.: Functional boxplots based on epigraphs and hypographs (2016)
  17. Nanty, Simon; Helbert, Céline; Marrel, Amandine; Pérot, Nadia; Prieur, Clémentine: Sampling, metamodeling, and sensitivity analysis of numerical simulators with functional stochastic inputs (2016)
  18. Arribas-Gil, Ana; Romo, Juan: Discussion of “Multivariate functional outlier detection” (2015)
  19. Bali, Juan Lucas; Boente, Graciela: Influence function of projection-pursuit principal components for functional data (2015)
  20. Hubert, Mia; Rousseeuw, Peter J.; Segaert, Pieter: Multivariate functional outlier detection (2015)

1 2 next