rang: Reconstructing Reproducible R Computational Environments

Resolve the dependency graph of R packages at a specific time point based on the information from various 'R-hub' web services <https://blog.r-hub.io/>. The dependency graph can then be used to reconstruct the R computational environment with 'Rocker' <https://rocker-project.org>.

Version: 0.3.0
Depends: R (≥ 3.5.0)
Imports: parsedate, fastmap, jsonlite, memoise, pkgsearch, remotes, utils, httr, vctrs, renv, here
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-10-08
Author: Chung-hong Chan ORCID iD [aut, cre], David Schoch ORCID iD [aut], Egor Kotov ORCID iD [ctb]
Maintainer: Chung-hong Chan <chainsawtiney at gmail.com>
BugReports: https://github.com/gesistsa/rang/issues
License: GPL (≥ 3)
URL: https://github.com/gesistsa/rang
NeedsCompilation: no
Citation: rang citation info
Materials: README
In views: ReproducibleResearch
CRAN checks: rang results

Documentation:

Reference manual: rang.pdf
Vignettes: Create research compendia
FAQ
use_rang

Downloads:

Package source: rang_0.3.0.tar.gz
Windows binaries: r-devel: rang_0.3.0.zip, r-release: rang_0.3.0.zip, r-oldrel: rang_0.3.0.zip
macOS binaries: r-release (arm64): rang_0.3.0.tgz, r-oldrel (arm64): rang_0.3.0.tgz, r-release (x86_64): rang_0.3.0.tgz
Old sources: rang archive

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