ssMRCD: Robust Estimators for Multi-Group and Spatial Data

Estimation of robust estimators for multi-group and spatial data including the casewise robust Spatially Smoothed Minimum Regularized Determinant (ssMRCD) estimator and its usage for local outlier detection as described in Puchhammer and Filzmoser (2023) <doi:10.1080/10618600.2023.2277875> as well as for sparse robust PCA for multi-source data described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2407.16299>. Moreover, a cellwise robust multi-group Gaussian mixture model (MG-GMM) is implemented as described in Puchhammer, Wilms and Filzmoser (2024) <doi:10.48550/arXiv.2504.02547>. Included are also complementary visualization and parameter tuning tools.

Version:	2.0.0
Depends:	R (≥ 4.0.0)
Imports:	stats, graphics, robustbase, scales, ellipse, dbscan, ggplot2, expm, rrcov, DescTools, rootSolve, Matrix, Rcpp, RcppArmadillo, cellWise, methods, utils
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0), rnaturalearth, rnaturalearthdata, dplyr, tidyr, ggridges
Published:	2025-09-11
Author:	Patricia Puchhammer [aut, cre, cph], Peter Filzmoser [aut]
Maintainer:	Patricia Puchhammer <patricia.puchhammer at tuwien.ac.at>
License:	GPL-3
NeedsCompilation:	yes
CRAN checks:	ssMRCD results

Documentation:

Reference manual:	ssMRCD.html , ssMRCD.pdf
Vignettes:	Sparse Robust PCA with the ssMRCD Estimator for Multi-Source Data (source, R code) Cellwise Robust Multi-Group Gaussian Mixture Model (source, R code) Local Outlier Detection with ssMRCD (source, R code)

Downloads:

Package source:	ssMRCD_2.0.0.tar.gz
Windows binaries:	r-devel: ssMRCD_1.1.0.zip, r-release: ssMRCD_1.1.0.zip, r-oldrel: ssMRCD_1.1.0.zip
macOS binaries:	r-release (arm64): ssMRCD_1.1.0.tgz, r-oldrel (arm64): ssMRCD_1.1.0.tgz, r-release (x86_64): ssMRCD_2.0.0.tgz, r-oldrel (x86_64): ssMRCD_2.0.0.tgz
Old sources:	ssMRCD archive

Linking:

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