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>.

Depends: R (≥ 4.2.0)
Imports: fda, fdapace, ggplot2, Rdpack, reshape2, robustbase, stats
Published: 2023-08-17
DOI: 10.32614/CRAN.package.mrct
Author: Jeremy Oguamalam [aut, cre], Una Radojičić [aut], Peter Filzmoser [aut]
Maintainer: Jeremy Oguamalam <jeremy.oguamalam at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mrct results


Reference manual: mrct.pdf


Package source: mrct_0.0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mrct_0.0.1.0.tgz, r-oldrel (arm64): mrct_0.0.1.0.tgz, r-release (x86_64): mrct_0.0.1.0.tgz, r-oldrel (x86_64): mrct_0.0.1.0.tgz


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