Functional Data Analysis and Utilities for Statistical Computing [R package fda.usc version 2.2.0]

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: 2.2.0

Depends: R (≥ 3.5.0), fda, splines, MASS, mgcv, knitr

Imports: methods, grDevices, graphics, utils, stats, nlme, doParallel, parallel, iterators, foreach, kSamples

Suggests: rmarkdown

Published: 2024年11月09日

DOI: 10.32614/CRAN.package.fda.usc

Author: Manuel Febrero Bande ORCID iD [aut], Manuel Oviedo de la Fuente ORCID iD [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/issues

License: GPL-2

URL: https://github.com/moviedo5/fda.usc, https://moviedo5.github.io/fda.usc/, https://www.jstatsoft.org/v51/i04/

NeedsCompilation: yes

Citation: fda.usc citation info

Materials: README, NEWS

In views: AnomalyDetection, FunctionalData

CRAN checks: fda.usc results

Documentation:

Reference manual: fda.usc.html , fda.usc.pdf

Downloads:

Package source: fda.usc_2.2.0.tar.gz

Windows binaries: r-devel: fda.usc_2.2.0.zip, r-release: fda.usc_2.2.0.zip, r-oldrel: fda.usc_2.2.0.zip

macOS binaries: r-release (arm64): fda.usc_2.2.0.tgz, r-oldrel (arm64): fda.usc_2.2.0.tgz, r-release (x86_64): fda.usc_2.2.0.tgz, r-oldrel (x86_64): fda.usc_2.2.0.tgz

Old sources: fda.usc archive

Reverse dependencies:

Reverse depends: ILS, qcr, rofanova, TFunHDDC

Reverse imports: biosensors.usc, datadriftR, etree, FADPclust, FiSh, funcharts, FuncNN, goffda, GPFDA, logitFD, longsurr, mlmts, PCRedux, puls, robflreg, slasso, SpatFD

Reverse suggests: fChange, GET, mlr, photobiologyInOut

Linking:

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