Package: RMBC
Type: Package
Title: Robust Model Based Clustering
Version: 0.1.0
Author: Juan Domingo Gonzalez [cre, aut],
  Victor J. Yohai [aut],
  Ruben H. Zamar [aut],
  Ricardo Maronna [aut]
Authors@R: c(person("Juan Domingo", "Gonzalez", email = "juanrst@hotmail.com", 
                    role = c("cre","aut")),
             person("Victor J.", "Yohai", email = "victoryohai@gmail.com",
                    role = "aut"),
             person("Ruben H.", "Zamar", email = "ruben@stat.ubc.ca", 
             role = "aut"),
             person("Ricardo", "Maronna", email = "rmaronna@retina.ar", 
             role = "aut")
             )
Maintainer: Juan Domingo Gonzalez <juanrst@hotmail.com>
Description: A robust clustering algorithm (Model-Based) similar to Expectation
    Maximization for finite mixture normal distributions is implemented, 
    its main advantage is that the estimator is resistant to outliers, 
    that means that results of parameter estimation are still correct when there
    are atypical values in the sample 
    (see Gonzalez, Maronna, Yohai and Zamar (2021) 
    <arxiv:2102.06851>). 
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0), stats
LazyData: true
RoxygenNote: 7.1.1
Suggests: tclust, knitr, testthat (>= 2.1.0), rmarkdown
Imports: ktaucenters, mvtnorm, MASS
NeedsCompilation: no
Packaged: 2021-07-20 23:48:38 UTC; juan
Repository: CRAN
Date/Publication: 2021-07-22 06:40:05 UTC
