mrct: Outlier Detection of Functional Data Based on the Minimum
Regularized Covariance Trace Estimator
Detect outlying observations in functional data sets based on the minimum regularized covariance trace (MRCT) estimator. Includes implementation of Oguamalam et al. (2023) <doi:10.48550/arXiv.2307.13509>.
| Version: |
0.0.1.0 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
fda, fdapace, ggplot2, Rdpack, reshape2, robustbase, stats |
| Published: |
2023-08-17 |
| Author: |
Jeremy Oguamalam [aut, cre],
Una Radojičić [aut],
Peter Filzmoser [aut] |
| Maintainer: |
Jeremy Oguamalam <jeremy.oguamalam at tuwien.ac.at> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
mrct results |
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