[aut, cre,
cph],
Rosa Elvira Lillo [aut],
Antonio Fernandez Anta [aut, fnd]A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness, MS-plot, total variation depth, and sequential transformations among others.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | MASS |
| Suggests: | testthat (≥ 2.1.0), covr, spelling |
| Published: | 2020-11-28 |
| 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 |
| CRAN checks: | fdaoutlier results |
| Reference manual: | fdaoutlier.pdf |
| Package source: | fdaoutlier_0.1.1.tar.gz |
| Windows binaries: | r-devel: fdaoutlier_0.1.1.zip, r-release: fdaoutlier_0.1.1.zip, r-oldrel: fdaoutlier_0.1.1.zip |
| macOS binaries: | r-release: fdaoutlier_0.1.1.tgz, r-oldrel: fdaoutlier_0.1.1.tgz |
| Old sources: | fdaoutlier archive |
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