RT Journal Article
T1 Statistical Computing in Functional Data Analysis: The R Package fda.usc
A1 Febrero Bande, Manuel
A1 Oviedo de la Fuente, Manuel
K1 Functional data regression
K1 Representation of functional data
K1 Non-parametric kernel estimation
K1 Depth measures
K1 Outlier
AB 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)
PB Foundation for Open Access Statistics
SN 1548-7660
YR 2012
FD 2012
LK http://hdl.handle.net/10347/18532
UL http://hdl.handle.net/10347/18532
LA eng
NO Febrero-Bande, M., & de la Fuente, M. (2012). Statistical Computing in Functional Data Analysis: The R Package fda.usc. Journal of Statistical Software, 51(4), 1 - 28. doi:http://dx.doi.org/10.18637/jss.v051.i04
DS Minerva
RD 28 abr 2026