Package: MixtureMissing
Type: Package
Title: Robust Model-Based Clustering for Data Sets with Missing Values
        at Random
Version: 2.0.0
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: Implementation of robust model-based cluster analysis for data sets with missing values at random. 
    The models used are: Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022, <doi:10.1007/s11634-021-00476-1>), 
    Multivariate Generalized Hyperbolic Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>), 
    Multivariate Skew's t Mixture (MStM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>),
    Multivariate t  Mixture (MtM, Wang et al., 2004, <doi:10.1016/j.patrec.2004.01.010>), and 
    Multivariate Normal Mixture (MNM, Ghahramani and Jordan, 1994, <doi:10.21236/ADA295618>). 
Imports: mvtnorm (>= 1.1-2), mnormt (>= 2.0.2), cluster (>= 2.1.2),
        MASS (>= 7.3), numDeriv (>= 8.1.1), Bessel (>= 0.6.0)
Suggests: 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: 2023-04-12 23:29:07 UTC; hungt
Author: Hung Tong [aut, cre],
  Cristina Tortora [aut, ths, dgs]
Maintainer: Hung Tong <hungtongmx@gmail.com>
Date/Publication: 2023-04-13 22:40:05 UTC
Built: R 4.1.3; ; 2023-04-17 14:23:00 UTC; windows
