bdlp: Transparent and Reproducible Artificial Data Generation

The main function generateDataset() processes a user-supplied .R file that contains metadata parameters in order to generate actual data. The metadata parameters have to be structured in the form of metadata objects, the format of which is outlined in the package vignette. This approach allows to generate artificial data in a transparent and reproducible manner.

Version:	0.9-2
Depends:	R (≥ 3.0.0), graphics
Imports:	GenOrd, MultiOrd, stringdist, rgl, RSQLite, MASS, DBI, methods, grDevices, stats, utils
Suggests:	knitr, rmarkdown
Published:	2021-01-10
Author:	Rainer Dangl [aut, cre]
Maintainer:	Rainer Dangl <rainer.dangl at bildung.gv.at>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	bdlp results

Documentation:

Reference manual:	bdlp.pdf
Vignettes:	The Benchmark Data Library Project - a Framework for Artificial Data Generation

Downloads:

Package source:	bdlp_0.9-2.tar.gz
Windows binaries:	r-devel: bdlp_0.9-2.zip, r-release: bdlp_0.9-2.zip, r-oldrel: bdlp_0.9-2.zip
macOS binaries:	r-release (arm64): bdlp_0.9-2.tgz, r-oldrel (arm64): bdlp_0.9-2.tgz, r-release (x86_64): bdlp_0.9-2.tgz, r-oldrel (x86_64): bdlp_0.9-2.tgz
Old sources:	bdlp archive

Linking:

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