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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.1.0 |
rolling linux/jammy R-4.5 | mrct_0.0.1.0.tar.gz |
59.0 KiB |
0.0.1.0 |
rolling linux/noble R-4.5 | mrct_0.0.1.0.tar.gz |
58.9 KiB |
0.0.1.0 |
rolling source/ R- | mrct_0.0.1.0.tar.gz |
32.1 KiB |
0.0.1.0 |
latest linux/jammy R-4.5 | mrct_0.0.1.0.tar.gz |
59.0 KiB |
0.0.1.0 |
latest linux/noble R-4.5 | mrct_0.0.1.0.tar.gz |
58.9 KiB |
0.0.1.0 |
latest source/ R- | mrct_0.0.1.0.tar.gz |
32.1 KiB |
0.0.1.0 |
2026-04-26 source/ R- | mrct_0.0.1.0.tar.gz |
32.1 KiB |
0.0.1.0 |
2026-04-23 source/ R- | mrct_0.0.1.0.tar.gz |
32.1 KiB |
0.0.1.0 |
2026-04-09 windows/windows R-4.5 | mrct_0.0.1.0.zip |
61.2 KiB |
0.0.1.0 |
2025-04-20 source/ R- | mrct_0.0.1.0.tar.gz |
32.1 KiB |