Package: dpGMM
Type: Package
Title: Dynamic Programming Based Gaussian Mixture Modelling Tool for 1D
        and 2D Data
Version: 0.2.2
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.
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: 2026-01-10 12:12:11 UTC; kamil
Author: Michal Marczyk [aut, ctb],
  Kamila Szumala [aut, cre],
  Joanna Zyla [aut, ctb]
Repository: CRAN
Date/Publication: 2026-01-15 17:40:26 UTC
Built: R 4.5.2; ; 2026-02-18 04:55:24 UTC; windows
