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.

Version: 2.0.2
Depends: R (≥ 2.10), fda, splines, MASS, mgcv
Imports: methods, grDevices, graphics, utils, stats, nlme, doParallel, parallel, iterators, foreach
Suggests: rmarkdown
Published: 2020-02-17
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>
BugReports: https://github.com/moviedo5/fda.usc
License: GPL-2
URL: https://github.com/moviedo5/fda.usc, http://www.jstatsoft.org/v51/i04/
NeedsCompilation: yes
Citation: fda.usc citation info
Materials: README NEWS
In views: FunctionalData
CRAN checks: fda.usc results

Documentation:

Reference manual: fda.usc.pdf

Downloads:

Package source: fda.usc_2.0.2.tar.gz
Windows binaries: r-devel: fda.usc_2.0.2.zip, r-devel-UCRT: fda.usc_2.0.2.zip, r-release: fda.usc_2.0.2.zip, r-oldrel: fda.usc_2.0.2.zip
macOS binaries: r-release (arm64): fda.usc_2.0.2.tgz, r-release (x86_64): fda.usc_2.0.2.tgz, r-oldrel: fda.usc_2.0.2.tgz
Old sources: fda.usc archive

Reverse dependencies:

Reverse depends: ILS, MFHD, NITPicker, qcr
Reverse imports: FADPclust, FiSh, FuncNN, goffda, GPFDA, PCRedux, puls, slasso
Reverse suggests: GET, mlr, Platypus

Linking:

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