Package: ssMRCD
Type: Package
Title: Robust Estimators for Multi-Group and Spatial Data
Version: 2.0.3
Authors@R: 
   c(
   person(given = "Patricia", family = "Puchhammer", email = "patricia.puchhammer@tuwien.ac.at", role = c("aut", "cre", "cph")),
   person(given = "Peter", family = "Filzmoser", role = c("aut")),
   person(given = "Ines", family = "Wilms", role = c("aut"))
   )
Maintainer: Patricia Puchhammer <patricia.puchhammer@tuwien.ac.at>
Description: 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 (2026) <doi:10.1007/s11222-025-10771-y>. Moreover, a cellwise robust multi-group Gaussian mixture model (MG-GMM) is implemented as described in Puchhammer, Wilms and Filzmoser (2025) <doi:10.48550/arXiv.2504.02547>. Included are also complementary visualization and parameter tuning tools.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, graphics, robustbase, scales, ellipse, dbscan, ggplot2,
        expm, rrcov, DescTools, rootSolve, Matrix, Rcpp, cellWise,
        methods, utils
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rnaturalearth,
        rnaturalearthdata, sf, dplyr, tidyr, ggridges
Config/testthat/edition: 3
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-11-13 12:05:00 UTC; puchhammer
Author: Patricia Puchhammer [aut, cre, cph],
  Peter Filzmoser [aut],
  Ines Wilms [aut]
Repository: CRAN
Date/Publication: 2026-11-13 13:20:02 UTC
