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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: | 3.6.4 |
| Depends: | magclass (≥ 5.7.0), R (≥ 2.10.0) |
| Imports: | callr, digest, igraph (≥ 1.0.1), Matrix, methods, pkgload, renv, stringi, tools, utils, withr, yaml |
| Suggests: | covr, ggplot2, knitr, rmarkdown, terra, testthat, tibble, grDevices, graphics |
| Published: | 2023-08-23 |
| Author: | Jan Philipp Dietrich [aut, cre], Lavinia Baumstark [aut], Stephen Wirth [aut], Anastasis Giannousakis [aut], Renato Rodrigues [aut], Benjamin Leon Bodirsky [aut], Debbora Leip [aut], Ulrich Kreidenweis [aut], David Klein [aut], Pascal Führlich [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 |
| Reference manual: | madrat.pdf |
| Vignettes: |
Data caching in madrat Portable unagreggated collections (PUCs) in MADRaT Data preparation with madrat |
| Package source: | madrat_3.6.4.tar.gz |
| Windows binaries: | r-devel: madrat_3.6.4.zip, r-release: madrat_3.6.4.zip, r-oldrel: madrat_3.6.4.zip |
| macOS binaries: | r-release (arm64): madrat_3.6.4.tgz, r-oldrel (arm64): madrat_3.6.4.tgz, r-release (x86_64): madrat_3.6.4.tgz, r-oldrel (x86_64): madrat_3.6.4.tgz |
| Old sources: | madrat archive |
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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.
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