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DataFakeR: Generate Fake Data for Relational Databases

Based on provided database description and/or database connection generate data sample preserving source structure.

Version: 0.1.3
Imports: yaml, purrr, tidygraph, dplyr (≥ 1.0.0), tibble, magrittr, glue, R6
Suggests: DBI, charlatan, stringr, stringi, rmarkdown, knitr, covr, lintr, httr, mockery, testthat (≥ 3.0.0), rcmdcheck
Published: 2023-02-12
DOI: 10.32614/CRAN.package.DataFakeR
Author: Krystian Igras [aut, cre], Kamil Wais [ctb], Adam Foryś [ctb], Adam Leśniewski [ctb], Paweł Kawski [ctb]
Maintainer: Krystian Igras <krystian8207 at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/openpharma/DataFakeR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DataFakeR results

Documentation:

Reference manual: DataFakeR.pdf
Vignettes: DataFakeR workflow
Extra parameters
Welcome to DataFakeR!
YAML schema structure
Simulation methods
Simulation Options
Sourcing structure from database

Downloads:

Package source: DataFakeR_0.1.3.tar.gz
Windows binaries: r-devel: DataFakeR_0.1.3.zip, r-release: DataFakeR_0.1.3.zip, r-oldrel: DataFakeR_0.1.3.zip
macOS binaries: r-release (arm64): DataFakeR_0.1.3.tgz, r-oldrel (arm64): DataFakeR_0.1.3.tgz, r-release (x86_64): DataFakeR_0.1.3.tgz, r-oldrel (x86_64): DataFakeR_0.1.3.tgz
Old sources: DataFakeR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DataFakeR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.