fdaPOIFD: Partially Observed Integrated Functional Depth

Integrated Depths for Partially Observed Functional Data (POFD). Applications to visualization, outlier detection and classification. Software companion for Elías, Antonio, Jiménez, Raúl, Paganoni, Anna M. and Sangalli, Laura M., (2020), "Integrated Depth for Partially Observed Functional Data".

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, tibble, magrittr, reshape2, patchwork, MASS, fdapace, FastGP, stats
Suggests: knitr, rmarkdown
Published: 2021-08-04
Author: Antonio Elías [aut, cre], Raúl Jiménez [ctb], Anna M. Paganoni [ctb], Laura M. Sangalli [ctb]
Maintainer: Antonio Elías <antonioefz91 at gmail.com>
BugReports: https://github.com/aefdz/fdaPOIFD
License: GPL-3
URL: https://github.com/aefdz/fdaPOIFD
NeedsCompilation: no
Materials: NEWS
CRAN checks: fdaPOIFD results

Downloads:

Reference manual: fdaPOIFD.pdf
Vignettes: Illustration of the simulations
Package source: fdaPOIFD_1.0.2.tar.gz
Windows binaries: r-devel: fdaPOIFD_1.0.2.zip, r-release: fdaPOIFD_1.0.2.zip, r-oldrel: fdaPOIFD_1.0.2.zip
macOS binaries: r-release (arm64): fdaPOIFD_1.0.2.tgz, r-release (x86_64): fdaPOIFD_1.0.2.tgz, r-oldrel: fdaPOIFD_1.0.2.tgz
Old sources: fdaPOIFD archive

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