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.


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Reference manual

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install.packages("fdaoutlier")

0.1.1 by Oluwasegun Taiwo Ojo, 2 months ago


https://github.com/otsegun/fdaoutlier


Report a bug at https://github.com/otsegun/fdaoutlier/issues


Browse source code at https://github.com/cran/fdaoutlier


Authors: Oluwasegun Taiwo Ojo [aut, cre, cph] , Rosa Elvira Lillo [aut] , Antonio Fernandez Anta [aut, fnd]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS

Suggests testthat, covr, spelling


See at CRAN