Package: dpGMM
Type: Package
Title: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D
        and 2D Data
Version: 1.0.0
Authors@R: c(
    person("Michal", "Marczyk", email = "michal.marczyk@polsl.pl", role = c("aut","ctb")),
    person("Kamila", "Szumala", email = "kamila.szumala@polsl.pl", role = c("aut","cre")),
    person("Joanna", "Zyla",  email = "joanna.zyla@polsl.pl",role = c("aut","ctb")))
Maintainer: Kamila Szumala <kamila.szumala@polsl.pl>
Description: Gaussian mixture modeling of one- and two-dimensional
        data, provided in original or binned form, with an option to
        estimate the number of model components. The method uses
        Gaussian Mixture Models (GMM) with initial parameters
        determined by a dynamic programming algorithm, leading to
        stable and reproducible model fitting. For more details see
        Zyla, J., Szumala, K., Polanski, A., Polanska, J., & Marczyk,
        M. (2026) <doi:10.1016/j.jocs.2026.102811>.
Depends: R (>= 3.5), ggplot2, RColorBrewer, stats, pracma
Imports: grDevices, ggpubr, Matrix, reshape2, graphics, methods,
        mvtnorm
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-10-20 10:08:07 UTC; root
Author: Michal Marczyk [aut, ctb], Kamila Szumala [aut, cre], Joanna
        Zyla [aut, ctb]
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://szumx123.r-universe.dev
Date/Publication: 2026-03-02 14:40:02 UTC
RemoteUrl: https://github.com/cran/dpGMM
RemoteRef: HEAD
RemoteSha: d5a1e8dfb686f4cdf4c6952531c8a880956e0d9a