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.


Reference manual

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0.1.1 by Oluwasegun Taiwo Ojo, 2 months ago


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