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) <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. 
License: GPL-3
URL: https://github.com/otsegun/fdaoutlier
BugReports: https://github.com/otsegun/fdaoutlier/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 2.1.0), covr, spelling, knitr, rmarkdown
RoxygenNote: 7.2.3
Imports: MASS
Depends: R (>= 2.10)
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-09-29 13:42:51 UTC; segun
Author: Oluwasegun Taiwo Ojo [aut, cre, cph]
    (<https://orcid.org/0000-0001-9629-6990>),
  Rosa Elvira Lillo [aut],
  Antonio Fernandez Anta [aut, fnd]
Maintainer: Oluwasegun Taiwo Ojo <seguntaiwoojo@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-30 22:40:08 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-25 18:51:59 UTC; unix
Archs: fdaoutlier.so.dSYM
