fda.usc: Functional Data Analysis and Utilities for Statistical Computing (fda.usc)

The R package fda.usc carries out exploratory and descriptive analysis of functional data such as depth measurements or functional atypical curves detection, functions to compute functional regression models with a scalar response, supervised and unsupervised classification methods and functional analysis of variance.

Version: 1.2.0
Depends: R (≥ 2.10), fda, splines, MASS, mgcv, rpart
Published: 2014-05-29
Author: Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Maintainer: Manuel Oviedo de la Fuente <manuel.oviedo at usc.es>
License: GPL-2
URL: http://www.jstatsoft.org/v51/i04/
NeedsCompilation: yes
Citation: fda.usc citation info
Materials: NEWS
CRAN checks: fda.usc results


Reference manual: fda.usc.pdf
Package source: fda.usc_1.2.0.tar.gz
Windows binaries: r-devel: fda.usc_1.2.0.zip, r-release: fda.usc_1.2.0.zip, r-oldrel: fda.usc_1.2.0.zip
OS X Snow Leopard binaries: r-release: fda.usc_1.2.0.tgz, r-oldrel: fda.usc_1.2.0.tgz
OS X Mavericks binaries: r-release: fda.usc_1.2.0.tgz
Old sources: fda.usc archive

Reverse dependencies:

Reverse depends: GPFDA, MFHD