Statistical Computing in Functional Data Analysis: The R Package fda.usc
By M. Febrero–Bande, M. D. L. Fuente. 2012
442 citations recorded by the source corpus.
This paper is devoted to the R package fda.usc which includes some utilities for functional data analysis. This package carries out exploratory and descriptive analysis of functional data analyzing its most important features such as depth measurements or functional outliers detection, among others. The R package fda.usc also includes functions to compute functional regression models, with a scalar response and a functional explanatory data via non-parametric functional regression, basis representation or functional principal components analysis. There are natural extensions such as functional linear models and semi-functional partial linear models, which allow non-functional covariates and factors and make predictions. The functions of this package complement and incorporate the two main references of functional data analysis: The R package fda and the functions implemented by Ferraty and Vieu (2006).
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/353097d14966783b10736be1f5c67a6169800099
How researchers see this paper
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In Statistics and Probability
- Wenceslao González-Manteiga
- Dominik Liebl
- M. Febrero–Bande
- Laura Freijeiro-González
- Gerda Claeskens
- Mia Hubert
- Kaveh Vakili
- L. Slaets
Citations in the corpus
- Modeling and forecasting electricity spot prices: A functional data perspective (2013, methodology): “Forecasting electricity spot prices yth with the SFPL model can be easily done using the R package fda.usc of Febrero-Bande and Oviedo de la Fuente (2012).”
- Multivariate Functional Halfspace Depth (2014, background): “Ghosh and Chaudhuri (2005), Dutta and Ghosh (2011), Hubert and Van der Veeken (2010), Jörnsten (2004).”
- A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates (2020, methodology): “For this purpose, the library fda.usc (Febrero-Bande and Oviedo de la Fuente (2012)) is employed.”