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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:2.0.1
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:2025-09-16
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: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_2.0.1.tar.gz
Windows binaries: r-devel:ssMRCD_2.0.1.zip, r-release:ssMRCD_2.0.1.zip, r-oldrel:ssMRCD_2.0.1.zip
macOS binaries: r-release (arm64):ssMRCD_2.0.1.tgz, r-oldrel (arm64):ssMRCD_2.0.1.tgz, r-release (x86_64):ssMRCD_2.0.1.tgz, r-oldrel (x86_64):ssMRCD_2.0.1.tgz
Old sources: ssMRCD archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ssMRCDto link to this page.


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