fdaoutlier: Outlier Detection Tools for Functional Data Analysis

A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness, MS-plot, total variation depth, and sequential transformations among others.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: MASS
Suggests: testthat (≥ 2.1.0), covr, spelling
Published: 2020-11-28
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

Downloads:

Reference manual: fdaoutlier.pdf
Package source: fdaoutlier_0.1.1.tar.gz
Windows binaries: r-devel: fdaoutlier_0.1.1.zip, r-release: fdaoutlier_0.1.1.zip, r-oldrel: fdaoutlier_0.1.1.zip
macOS binaries: r-release: fdaoutlier_0.1.1.tgz, r-oldrel: fdaoutlier_0.1.1.tgz
Old sources: fdaoutlier archive

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