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

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References in zbMATH (referenced in 35 articles )

Showing results 1 to 20 of 35.
Sorted by year (citations)

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

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