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) <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

Documentation:

Reference manual: mrct.pdf

Downloads:

Package source: mrct_0.0.1.0.tar.gz
Windows binaries: r-devel: mrct_0.0.1.0.zip, r-release: mrct_0.0.1.0.zip, r-oldrel: mrct_0.0.1.0.zip
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

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