fda.usc: Functional Data Analysis and Utilities for Statistical Computing. Routines for exploratory and descriptive analysis of functional data such as depth measurements, atypical curves detection, regression models, supervised classification, unsupervised classification and functional analysis of variance.

References in zbMATH (referenced in 53 articles , 1 standard article )

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  1. Evandro Konzen, Yafeng Cheng, Jian Qing Shi: Gaussian Process for Functional Data Analysis: The GPFDA Package for R (2021) arXiv
  2. Oluwasegun Ojo, Rosa E. Lillo, Antonio Fernández Anta: Outlier Detection for Functional Data with R Package fdaoutlier (2021) arXiv
  3. Slaoui, Yousri: Recursive non-parametric kernel classification rule estimation for independent functional data (2021)
  4. Vinue, Guillermo; Epifanio, Irene: Robust archetypoids for anomaly detection in big functional data (2021)
  5. Barinder Thind, Sidi Wu, Richard Groenewald, Jiguo Cao: FuncNN: An R Package to Fit Deep Neural Networks Using Generalized Input Spaces (2020) arXiv
  6. Boente, Graciela; Salibian-Barrera, Matías; Vena, Pablo: Robust estimation for semi-functional linear regression models (2020)
  7. Cai, Xiong; Xue, Liugen; Wang, Zhaoliang: Robust estimation with modified Huber’s function for functional linear models (2020)
  8. Cao, Ruiyuan; Du, Jiang; Zhou, Jianjun; Xie, Tianfa: FPCA-based estimation for generalized functional partially linear models (2020)
  9. Dai, Wenlin; Mrkvička, Tomáš; Sun, Ying; Genton, Marc G.: Functional outlier detection and taxonomy by sequential transformations (2020)
  10. García-Portugués, Eduardo; Álvarez-Liébana, Javier; Álvarez-Pérez, Gonzalo; González-Manteiga, Wenceslao: Goodness-of-fit tests for functional linear models based on integrated projections (2020)
  11. Mrkvička, Tomáš; Myllymäki, Mari; Jílek, Milan; Hahn, Ute: A one-way ANOVA test for functional data with graphical interpretation. (2020)
  12. Blanquero, R.; Carrizosa, E.; Jiménez-Cordero, A.; Martín-Barragán, B.: Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm (2019)
  13. Cuesta-Albertos, Juan A.; García-Portugués, Eduardo; Febrero-Bande, Manuel; González-Manteiga, Wenceslao: Goodness-of-fit tests for the functional linear model based on randomly projected empirical processes (2019)
  14. Febrero-Bande, Manuel; González-Manteiga, Wenceslao; Oviedo de la Fuente, Manuel: Variable selection in functional additive regression models (2019)
  15. Górecki, Tomasz; Smaga, Łukasz: fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data (2019)
  16. Kosiorowski, Daniel; Rydlewski, Jerzy P.; Snarska, Małgorzata: Detecting a structural change in functional time series using local Wilcoxon statistic (2019)
  17. Oleksii Pokotylo; Pavlo Mozharovskyi; Rainer Dyckerhoff: Depth and Depth-Based Classification with R Package ddalpha (2019) not zbMATH
  18. Rivera-García, Diego; García-Escudero, Luis A.; Mayo-Iscar, Agustín; Ortega, Joaquín: Robust clustering for functional data based on trimming and constraints (2019)
  19. Slaoui, Yousri: Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data (2019)
  20. Tekbudak, Merve Yasemin; Alfaro-Córdoba, Marcela; Maity, Arnab; Staicu, Ana-Maria: A comparison of testing methods in scalar-on-function regression (2019)

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