madrat: May All Data be Reproducible and Transparent (MADRaT) *

Provides a framework which should improve reproducibility and transparency in data processing. It provides functionality such as automatic meta data creation and management, rudimentary quality management, data caching, work-flow management and data aggregation. * The title is a wish not a promise. By no means we expect this package to deliver everything what is needed to achieve full reproducibility and transparency, but we believe that it supports efforts in this direction.

Version: 2.3.2
Depends: R (≥ 2.10.0), magclass (≥ 5.7.0)
Imports: igraph (≥ 1.0.1), Matrix, tools, utils, digest, methods, stringi, yaml, withr
Suggests: knitr, rmarkdown, testthat, tibble, ggplot2, covr
Published: 2021-10-11
Author: Jan Philipp Dietrich [aut, cre], Lavinia Baumstark [aut], Stephen Wirth [aut], Anastasis Giannousakis [aut], Renato Rodrigues [aut], Benjamin Leon Bodirsky [aut], Ulrich Kreidenweis [aut], David Klein [aut], Pascal Führlich [aut]
Maintainer: Jan Philipp Dietrich <dietrich at>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Citation: madrat citation info
Materials: README
In views: ReproducibleResearch
CRAN checks: madrat results


Reference manual: madrat.pdf
Vignettes: Data caching in madrat
Data preparation with madrat


Package source: madrat_2.3.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel:
macOS binaries: r-release (arm64): madrat_2.3.2.tgz, r-oldrel (arm64): madrat_2.3.2.tgz, r-release (x86_64): madrat_2.3.2.tgz, r-oldrel (x86_64): madrat_2.3.2.tgz
Old sources: madrat archive


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