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.

Package details

AuthorJan Philipp Dietrich [aut, cre] (Potsdam Institute for Climate Impact Research, 0000-0002-4309-6431), Lavinia Baumstark [aut] (Potsdam Institute for Climate Impact Research), Stephen Wirth [aut] (Potsdam Institute for Climate Impact Research), Anastasis Giannousakis [aut], Renato Rodrigues [aut] (Potsdam Institute for Climate Impact Research), Benjamin Leon Bodirsky [aut] (Potsdam Institute for Climate Impact Research), Debbora Leip [aut] (Potsdam Institute for Climate Impact Research), Ulrich Kreidenweis [aut], David Klein [aut] (Potsdam Institute for Climate Impact Research), Pascal Sauer [aut] (Potsdam Institute for Climate Impact Research)
MaintainerJan Philipp Dietrich <dietrich@pik-potsdam.de>
LicenseBSD_2_clause + file LICENSE
Version3.15.6
URL https://github.com/pik-piam/madrat https://doi.org/10.5281/zenodo.1115490
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("madrat")

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madrat documentation built on April 4, 2025, 5:41 a.m.