fdaPOIFD: Partially Observed Integrated Functional Depth

Applications to visualization, outlier detection and classification. Software companion for Elías, Antonio, Jiménez, Raúl, Paganoni, Anna M. and Sangalli, Laura M., (2022), "Integrated Depth for Partially Observed Functional Data". Journal of Computational and Graphical Statistics. <doi:10.1080/10618600.2022.2070171>.

Version:	1.0.3
Depends:	R (≥ 3.5.0)
Imports:	ggplot2, tibble, magrittr, reshape2, patchwork, MASS, fdapace, FastGP, stats
Suggests:	knitr, rmarkdown
Published:	2022-05-16
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
Citation:	fdaPOIFD citation info
Materials:	NEWS
CRAN checks:	fdaPOIFD results

Documentation:

Reference manual:	fdaPOIFD.pdf
Vignettes:	Illustration of the simulations

Downloads:

Package source:	fdaPOIFD_1.0.3.tar.gz
Windows binaries:	r-devel: fdaPOIFD_1.0.3.zip, r-release: fdaPOIFD_1.0.3.zip, r-oldrel: fdaPOIFD_1.0.3.zip
macOS binaries:	r-release (arm64): fdaPOIFD_1.0.3.tgz, r-oldrel (arm64): fdaPOIFD_1.0.3.tgz, r-release (x86_64): fdaPOIFD_1.0.3.tgz, r-oldrel (x86_64): fdaPOIFD_1.0.3.tgz
Old sources:	fdaPOIFD archive

Linking:

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