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ganGenerativeData

2.1.6

Generate Generative Data for a Data Source

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Werner MuellerFirst published 2021-04-2621 releasesCRAN page ↗

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 evaluation, missing data completion and data classification. A software service for accelerated training of generative models on graphics processing units is available. Reference: Goodfellow et al. (2014) doi:10.48550/arXiv.1406.2661.

Install

Health

CRAN checks
13OK
Slowest check: 4.3 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
3%
Documented parameters
93%
Return-value docs
100%
References docs
3%

Downloads

3.2K
CRAN downloads in the past year
Rank #12,831 · ~9/day · ~268/mo
Daily download trend is not available in this view yet.
19930 days
79990 days
3.2K1 year
Compare downloads with other packages →
Also on480 r2u31 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

21 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.6Latest
    2025-12-16 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.1.4
    2024-12-12 · diff ↗
  • 2.1.3
    2024-10-07 · diff ↗
  • 2.1.2
    2024-09-30 · diff ↗
  • 2.0.2
    2024-06-23 · diff ↗
  • 2.0.1
    2024-06-17 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.5.7
    2024-02-18 · diff ↗
  • 1.5.6
    2024-01-08 · diff ↗
  • 1.5.5
    2023-12-18 · diff ↗
  • 1.5.4
    2023-12-12 · diff ↗
  • 1.5.3
    2023-12-02 · diff ↗
  • 1.5.1
    2023-11-19 · diff ↗
  • 1.5.0
    2023-11-11 · diff ↗
Show 12 earlier events
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4.3
    2023-03-25 · diff ↗
  • 1.4.2
    2023-02-26 · diff ↗
  • 1.4.1
    2023-02-11 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.3.3
    2022-02-16 · diff ↗
  • 1.3.2
    2022-02-10 · diff ↗
  • 1.2.0
    2021-10-09 · diff ↗
  • 1.1.1
    2021-05-24 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1
    2021-04-26
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-26
Total releases
21 / 5 yrs
License
GPL (>= 2) OSI
Download size
787 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ganGenerativeData")
Mueller, W. (2025). ganGenerativeData: Generate Generative Data for a Data Source (Version 2.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.ganGenerativeData

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ganGenerativeData version 2.1.6 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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