Outlier Detection Tools for Functional Data Analysis R package fdaoutlier version 0.2.1 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) CRAN Task View: FunctionalData (https://CRAN.R-project.org/view=FunctionalData) 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. Software Depends: R (>= 2.10) Imports: MASS Suggests: testthat (>= 2.1.0), covr, spelling, knitr, rmarkdown Oluwasegun Taiwo Ojo <seguntaiwoojo@gmail.com> Comprehensive R Archive Network (CRAN) Oluwasegun Taiwo Ojo [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9629-6990>), Rosa Elvira Lillo [aut], Antonio Fernandez Anta [aut, fnd] GPL-3 2023-09-30 application/tgz https://CRAN.R-project.org/package=fdaoutlier doi:10.32614/CRAN.package.fdaoutlier en-US