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
DOI: 10.32614/CRAN.package.fdaPOIFD
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
In views: FunctionalData
CRAN checks: fdaPOIFD results


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


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


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