Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jeremy Oguamalam <jeremy.oguamalam@tuwien.ac.at>’ The Description field contains implementation of Oguamalam et al. (2023) <arXiv:2307.13509>. Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- Help pages citing references
- 57% with a bibliography file
Downloads
Dependencies
Installing mrct adds 79 packages (47 with compiled code, 75 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.0.1.0Latest2023-08-17 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-08-17
- Total releases
- 1 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.2.0
- Download size
- 32 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("mrct")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.