fdaoutlier: Outlier Detection Tools for Functional Data Analysis
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.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.10) |
| Imports: | MASS |
| Suggests: | testthat (≥ 2.1.0), covr, spelling, knitr, rmarkdown |
| Published: | 2021-03-02 |
| Author: | Oluwasegun Taiwo Ojo
 [aut, cre,
cph],
Rosa Elvira Lillo [aut],
Antonio Fernandez Anta [aut, fnd] |
| Maintainer: | Oluwasegun Taiwo Ojo <seguntaiwoojo at gmail.com> |
| BugReports: | https://github.com/otsegun/fdaoutlier/issues |
| License: | GPL-3 |
| URL: | https://github.com/otsegun/fdaoutlier |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README NEWS |
| In views: | FunctionalData |
| CRAN checks: | fdaoutlier results |
Documentation:
| Reference manual: | fdaoutlier.pdf |
| Vignettes: |
Simulation Models |
Downloads:
| Package source: | fdaoutlier_0.2.0.tar.gz |
| Windows binaries: | r-devel: fdaoutlier_0.2.0.zip, r-release: fdaoutlier_0.2.0.zip, r-oldrel: fdaoutlier_0.2.0.zip |
| macOS binaries: | r-release (arm64): fdaoutlier_0.2.0.tgz, r-release (x86_64): fdaoutlier_0.2.0.tgz, r-oldrel: fdaoutlier_0.2.0.tgz |
| Old sources: | fdaoutlier archive |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=fdaoutlier to link to this page.