Package: fdaoutlier Title: Outlier Detection Tools for Functional Data Analysis Version: 0.2.1 Authors@R: c(person(given = "Oluwasegun Taiwo", family = "Ojo", role = c("aut", "cre", "cph"), email = "seguntaiwoojo@gmail.com", comment = c(ORCID = "0000-0001-9629-6990")), person(given = "Rosa Elvira", family = "Lillo", role = c("aut"), email = "lillo@est-econ.uc3m.es"), person(given = "Antonio", family = "Fernandez Anta", role = c("aut", "fnd"), email = "antonio.fernandez@imdea.org")) Description: A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) , MS-plot by Dai and Genton (2018) , total variation depth and modified shape similarity index by Huang and Sun (2019) , and sequential transformations by Dai et al. (2020) = 2.1.0), covr, spelling, knitr, rmarkdown RoxygenNote: 7.2.3 Imports: MASS Depends: R (>= 2.10) Language: en-US VignetteBuilder: knitr Repository: https://otsegun.r-universe.dev Date/Publication: 2023-10-11 12:12:11 UTC RemoteUrl: https://github.com/otsegun/fdaoutlier RemoteRef: HEAD RemoteSha: c96c35b1a7623f3a77f3e700e3e920b2fc41946e NeedsCompilation: yes Packaged: 2026-07-12 09:04:36 UTC; root Author: Oluwasegun Taiwo Ojo [aut, cre, cph] (ORCID: ), Rosa Elvira Lillo [aut], Antonio Fernandez Anta [aut, fnd] Maintainer: Oluwasegun Taiwo Ojo