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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:10.48550/arXiv.2305.05371>. Included are also complementary visualization and parameter tuning tools.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, grDevices, graphics, robustbase, scales, car, dbscan, plot3D, dplyr, ggplot2 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2023-05-15 |
| 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 |
| Reference manual: | ssMRCD.pdf |
| Vignettes: |
Introduction to ssMRCD and local outlier detection |
| Package source: | ssMRCD_0.1.0.tar.gz |
| Windows binaries: | r-devel: ssMRCD_0.1.0.zip, r-release: ssMRCD_0.1.0.zip, r-oldrel: ssMRCD_0.1.0.zip |
| macOS binaries: | r-release (arm64): ssMRCD_0.1.0.tgz, r-oldrel (arm64): ssMRCD_0.1.0.tgz, r-release (x86_64): ssMRCD_0.1.0.tgz, r-oldrel (x86_64): ssMRCD_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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