_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-opgmmassessment 0.4
Propagated dependencies: r-rlang@1.1.4 r-nbclust@3.0.1 r-multimode@1.5 r-mixtools@2.0.0 r-mixak@5.8 r-mclust@6.1.1 r-ggplot2@3.5.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-distributionoptimization@1.2.6 r-datavisualizations@1.3.3 r-clusterr@1.3.3 r-cluster@2.1.6 r-catools@1.18.3 r-adaptgauss@1.6
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://cran.r-project.org/package=opGMMassessment
Licenses: GPL 3
Synopsis: Optimized Automated Gaussian Mixture Assessment
Description:

Necessary functions for optimized automated evaluation of the number and parameters of Gaussian mixtures in one-dimensional data. Various methods are available for parameter estimation and for determining the number of modes in the mixture. A detailed description of the methods ca ben found in Lotsch, J., Malkusch, S. and A. Ultsch. (2022) <doi:10.1016/j.imu.2022.101113>.

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