# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ganGenerativeData" in publications use:' type: software license: GPL-2.0-or-later title: 'ganGenerativeData: Generate Generative Data for a Data Source' version: 2.0.2 doi: 10.32614/CRAN.package.ganGenerativeData abstract: 'Generative Adversarial Networks are applied to generate generative data for a data source. A generative model consisting of a generator and a discriminator network is trained. During iterative training the distribution of generated data is converging to that of the data source. Direct applications of generative data are the created functions for data classifying and missing data completion. A software service for accelerated training of generative models on graphics processing units is available. Reference: Goodfellow et al. (2014) .' authors: - family-names: Mueller given-names: Werner email: werner.mueller5@chello.at repository: https://CRAN.R-project.org/package=ganGenerativeData date-released: '2024-06-23' contact: - family-names: Mueller given-names: Werner email: werner.mueller5@chello.at