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fdaoutlier: Outlier Detection Tools for Functional Data Analysis

A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) <doi:10.1016/j.csda.2018.03.017>, MS-plot by Dai and Genton (2018) <doi:10.1080/10618600.2018.1473781>, total variation depth and modified shape similarity index by Huang and Sun (2019) <doi:10.1080/00401706.2019.1574241>, and sequential transformations by Dai et al. (2020) <doi:10.1016/j.csda.2020.106960 among others. Additional outlier detection tools and depths for functional data like functional boxplot, (modified) band depth etc., are also available.

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: MASS
Suggests: testthat (≥ 2.1.0), covr, spelling, knitr, rmarkdown
Published: 2023-09-30
DOI: 10.32614/CRAN.package.fdaoutlier
Author: Oluwasegun Taiwo Ojo ORCID iD [aut, cre, cph], Rosa Elvira Lillo [aut], Antonio Fernandez Anta [aut, fnd]
Maintainer: Oluwasegun Taiwo Ojo <seguntaiwoojo at gmail.com>
BugReports: https://github.com/otsegun/fdaoutlier/issues
License: GPL-3
URL: https://github.com/otsegun/fdaoutlier
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
In views: FunctionalData
CRAN checks: fdaoutlier results

Documentation:

Reference manual: fdaoutlier.pdf
Vignettes: Simulation Models

Downloads:

Package source: fdaoutlier_0.2.1.tar.gz
Windows binaries: r-devel: fdaoutlier_0.2.1.zip, r-release: fdaoutlier_0.2.1.zip, r-oldrel: fdaoutlier_0.2.1.zip
macOS binaries: r-release (arm64): fdaoutlier_0.2.1.tgz, r-oldrel (arm64): fdaoutlier_0.2.1.tgz, r-release (x86_64): fdaoutlier_0.2.1.tgz, r-oldrel (x86_64): fdaoutlier_0.2.1.tgz
Old sources: fdaoutlier archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fdaoutlier to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.