fdaoutlier
swMATH38639CRANfdaoutlierMaRDI QIDQ54339
Outlier Detection Tools for Functional Data Analysis
Rosa Elvira Lillo, Antonio Fernandez Anta, Oluwasegun Taiwo Ojo
Last update: 30 September 2023
Copyright license: GNU General Public License, version 3.0
Software version identifier: 0.2.0, 0.1.0, 0.1.1, 0.2.1
Source code repository: https://github.com/cran/fdaoutlier
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.
