Statistical Computing in Functional Data Analysis: The R Package fda.usc

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....

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of statistical software Jg. 51; H. 4
Hauptverfasser: Febrero-Bande, Manuel, Fuente, Manuel Oviedo de la
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Foundation for Open Access Statistics 01.10.2012
Schlagworte:
depth measures
functional data regression
non-parametric kernel estimation
outlier
representation of functional data
ISSN:1548-7660, 1548-7660
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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).
ISSN:1548-7660
1548-7660
DOI:10.18637/jss.v051.i04