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ganGenerativeData  

Generate Generative Data for a Data Source
View on CRAN: Click here


Download and install ganGenerativeData package within the R console
Install from CRAN:
install.packages("ganGenerativeData")

Install from Github:
library("remotes")
install_github("cran/ganGenerativeData")

Install by package version:
library("remotes")
install_version("ganGenerativeData", "2.1.6")



Attach the package and use:
library("ganGenerativeData")
Maintained by
Werner Mueller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-26
Latest Update: 2024-12-12
Description:
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. In iterated training steps 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. Reference: Goodfellow et al. (2014) .
How to cite:
Werner Mueller (2021). ganGenerativeData: Generate Generative Data for a Data Source. R package version 2.1.6, https://cran.r-project.org/web/packages/ganGenerativeData. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:41), 1.1.1 (2021-05-24 18:30), 1.1 (2021-04-26 10:30), 1.2.0 (2021-10-09 22:50), 1.3.2 (2022-02-10 17:10), 1.3.3 (2022-02-16 14:40), 1.4.1 (2023-02-11 17:40), 1.4.2 (2023-02-26 20:50), 1.4.3 (2023-03-25 19:00), 1.5.0 (2023-11-11 02:43), 1.5.1 (2023-11-19 14:30), 1.5.3 (2023-12-02 12:30), 1.5.4 (2023-12-12 00:40), 1.5.5 (2023-12-18 08:50), 1.5.6 (2024-01-08 12:50), 1.5.7 (2024-02-18 19:10), 2.0.1 (2024-06-17 10:00), 2.0.2 (2024-06-23 17:50), 2.1.2 (2024-09-30 10:20), 2.1.3 (2024-10-07 13:00), 2.1.4 (2024-12-12 14:20)
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Complete documentation for ganGenerativeData
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