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: 2.1.0
Depends: R (≥ 2.10), fda, splines, MASS, mgcv
Imports: methods, grDevices, graphics, utils, stats, nlme, doParallel, parallel, iterators, foreach, kSamples
Suggests: rmarkdown
Published: 2022-10-17
DOI: 10.32614/CRAN.package.fda.usc
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 udc.es>
BugReports: https://github.com/moviedo5/fda.usc
License: GPL-2
URL: https://github.com/moviedo5/fda.usc, https://www.jstatsoft.org/v51/i04/
NeedsCompilation: yes
Citation: fda.usc citation info
Materials: README NEWS
In views: FunctionalData
CRAN checks: fda.usc results


Reference manual: fda.usc.pdf


Package source: fda.usc_2.1.0.tar.gz
Windows binaries: r-devel: fda.usc_2.1.0.zip, r-release: fda.usc_2.1.0.zip, r-oldrel: fda.usc_2.1.0.zip
macOS binaries: r-release (arm64): fda.usc_2.1.0.tgz, r-oldrel (arm64): fda.usc_2.1.0.tgz, r-release (x86_64): fda.usc_2.1.0.tgz, r-oldrel (x86_64): fda.usc_2.1.0.tgz
Old sources: fda.usc archive

Reverse dependencies:

Reverse depends: ILS, qcr, rofanova, TFunHDDC
Reverse imports: biosensors.usc, etree, FADPclust, FiSh, funcharts, FuncNN, goffda, GPFDA, logitFD, longsurr, puls, robflreg, slasso, SpatFD
Reverse suggests: GET, mlr, photobiologyInOut


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