Package: ganDataModel
Type: Package
Title: Build a Metric Subspaces Data Model for a Data Source
Version: 2.0.1
Date: 2025-12-19
Author: Werner Mueller [aut, cre]
Maintainer: Werner Mueller <werner.mueller5@chello.at>
Description: Neural networks are applied to create a density value
        function which approximates density values for a data source.
        The trained neural network is analyzed for different levels.
        For each level metric subspaces with density values above a
        level are determined. The obtained set of metric subspaces and
        the trained neural network are assembled into a data model. A
        prerequisite is the definition of a data source, the generation
        of generative data and the calculation of density values. These
        tasks are executed using package 'ganGenerativeData'
        <https://cran.r-project.org/package=ganGenerativeData>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.3), tensorflow (>= 2.0.0)
LinkingTo: Rcpp
RoxygenNote: 7.3.3
SystemRequirements: TensorFlow (https://www.tensorflow.org)
NeedsCompilation: yes
Encoding: UTF-8
Authors@R: person(given = "Werner", family = "Mueller", role = c("aut", "cre"), email = "werner.mueller5@chello.at")
Packaged: 2026-10-15 09:02:09 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2025-12-19 11:40:02 UTC
RemoteUrl: https://github.com/cran/ganDataModel
RemoteRef: HEAD
RemoteSha: d55f36221793973ec5dfccc962e9e989410ec3e2