reproducible
Enhance Reproducibility of R Code
A collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs(). Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and has deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects, allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions().
- Version2.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-CA
- reproducible citation info
- Last release05/30/2024
Documentation
Team
Eliot J B McIntire
Alex M Chubaty
Show author detailsRolesAuthorHis Majesty the King in Right of Canada, as represented by the Minister of Natural Resources Canada
Show author detailsRolesCopyright holderCeres Barros
Tati Micheletti
Ian Eddy
Insights
Last 30 days
This package has been downloaded 2,249 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 125 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 19,771 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was May 02, 2024 with 347 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
- Imports6 packages
- Suggests22 packages
- Reverse Depends1 package
- Reverse Imports2 packages