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.
- Version0.3.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- rang citation info
- Last release10/08/2023
Documentation
Team
Chung-hong Chan
MaintainerShow author detailsDavid Schoch
Egor Kotov
Insights
Last 30 days
This package has been downloaded 236 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,701 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 30, 2025 with 53 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports10 packages
- Suggests3 packages