Package: MixtureMissing
Type: Package
Title: Robust and Flexible Model-Based Clustering for Data Sets with
        Missing Values at Random
Version: 3.0.4
Authors@R: 
  c(person(given = "Hung",
           family = "Tong",
           role = c("aut", "cre"),
           email = "hungtongmx@gmail.com"),
    person(given = "Cristina",
           family = "Tortora",
           role = c("aut", "ths", "dgs"),
           email = "cristina.tortora@sjsu.edu"))
Description: Implementations of various robust and flexible model-based clustering methods for data sets with missing values at random. 
    Two main models are: Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022, <doi:10.1007/s11634-021-00476-1>) and 
    Multivariate Generalized Hyperbolic Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>). Mixtures via some special or limiting
    cases of the multivariate generalized hyperbolic distribution are also included: Normal-Inverse Gaussian, Symmetric Normal-Inverse Gaussian, 
    Skew-Cauchy, Cauchy, Skew-t, Student's t, Normal, Symmetric Generalized Hyperbolic, Hyperbolic Univariate Marginals, 
    Hyperbolic, and Symmetric Hyperbolic.
Imports: mvtnorm (>= 1.1-2), mnormt (>= 2.0.2), cluster (>= 2.1.2),
        MASS (>= 7.3), numDeriv (>= 8.1.1), Bessel (>= 0.6.0), mclust
        (>= 5.0.0), mice (>= 3.10.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Repository: CRAN
RoxygenNote: 7.2.3
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2025-02-04 21:24:21 UTC; hungt
Author: Hung Tong [aut, cre],
  Cristina Tortora [aut, ths, dgs]
Maintainer: Hung Tong <hungtongmx@gmail.com>
Date/Publication: 2025-02-04 22:10:09 UTC
Built: R 4.3.3; ; 2025-02-15 08:31:00 UTC; unix
