Package: ssMRCD
Type: Package
Title: Robust Estimators for Multi-Group and Spatial Data
Version: 2.0.1
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"))
   )
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 (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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: stats, graphics, robustbase, scales, ellipse, dbscan, ggplot2,
        expm, rrcov, DescTools, rootSolve, Matrix, Rcpp, RcppArmadillo,
        cellWise, methods, utils
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rnaturalearth,
        rnaturalearthdata, dplyr, tidyr, ggridges
Config/testthat/edition: 3
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-09-16 09:04:11 UTC; puchhammer
Author: Patricia Puchhammer [aut, cre, cph],
  Peter Filzmoser [aut]
Repository: CRAN
Date/Publication: 2025-09-16 11:00:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-11 03:52:11 UTC; windows
Archs: x64
