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: 1.61.0
Depends: R (≥ 2.10.0), magclass (≥ 4.49)
Imports: spam, tools, utils, digest, methods, parallel, stringr, reshape2, stats, nnls, rlang, assertthat
Suggests: igraph (≥ 1.0.1), knitr, rmarkdown, testthat, ggplot2
Published: 2019-05-29
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]
Maintainer: Jan Philipp Dietrich <dietrich at pik-potsdam.de>
BugReports: https://github.com/pik-piam/madrat/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/pik-piam/madrat, https://doi.org/10.5281/zenodo.1115490
NeedsCompilation: no
Citation: madrat citation info
Materials: README
In views: ReproducibleResearch
CRAN checks: madrat results

Downloads:

Reference manual: madrat.pdf
Vignettes: Data preparation with MADRaT
Package source: madrat_1.61.0.tar.gz
Windows binaries: r-devel: madrat_1.61.0.zip, r-release: madrat_1.61.0.zip, r-oldrel: madrat_1.61.0.zip
OS X binaries: r-release: madrat_1.61.0.tgz, r-oldrel: madrat_1.61.0.tgz
Old sources: madrat archive

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