Estimation of the Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method as described in Puchhammer and Filzmoser (2023) <doi:10.1080/10618600.2023.2277875> and for sparse robust PCA for multi-source data described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2407.16299>. Included are also complementary visualization and parameter tuning tools.
Version: |
1.1.0 |
Depends: |
R (≥ 4.0.0) |
Imports: |
stats, grDevices, graphics, robustbase, scales, car, dbscan, plot3D, dplyr, ggplot2, expm, foreach, doParallel, rrcov, DescTools, rootSolve, parallel, Matrix, reshape2 |
Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2024-08-23 |
DOI: |
10.32614/CRAN.package.ssMRCD |
Author: |
Patricia Puchhammer [aut, cre, cph],
Peter Filzmoser [aut] |
Maintainer: |
Patricia Puchhammer <patricia.puchhammer at tuwien.ac.at> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
ssMRCD results |