Collection of high-level, machine- and OS-independent tools
for making deeply reproducible and reusable content in R.
The two workhorse functions are Cache and prepInputs;
these allow for: nested caching, robust to environments, and objects with
environments (like functions); and data retrieval and processing
in continuous workflow environments. In all cases,
efforts are made to make the first and subsequent calls of functions have
the same result, but vastly faster at subsequent times by way of checksums
and digesting. Several features are still under active development, including
cloud storage of cached objects, allowing for sharing between users. Several
advanced options are available, see ?reproducibleOptions.
| Version: |
1.2.8 |
| Depends: |
R (≥ 3.6) |
| Imports: |
data.table (≥ 1.10.4), DBI, digest, fpCompare, gdalUtilities, glue, magrittr, methods, Require, raster, RSQLite, rlang, sp (≥ 1.4-2), utils |
| Suggests: |
covr, crayon, fastdigest, fasterize, future, gdalUtils, googledrive, httr, lwgeom, qs, knitr, parallel, RCurl (≥
1.95-4.8), rgdal, rgeos, rmarkdown, sf, stats, terra, testthat |
| Published: |
2021-09-26 |
| Author: |
Eliot J B McIntire
 [aut, cre],
Alex M Chubaty
[aut],
Tati Micheletti
[ctb],
Ceres Barros
[ctb],
Ian Eddy [ctb],
Her Majesty the Queen in Right of Canada, as represented by the
Minister of Natural Resources Canada [cph] |
| Maintainer: |
Eliot J B McIntire <eliot.mcintire at canada.ca> |
| BugReports: |
https://github.com/PredictiveEcology/reproducible/issues |
| License: |
GPL-3 |
| URL: |
https://reproducible.predictiveecology.org,
https://github.com/PredictiveEcology/reproducible |
| NeedsCompilation: |
no |
| SystemRequirements: |
'unrar' (Linux/macOS) or '7-Zip' (Windows) to work
with '.rar' files. |
| Language: |
en-CA |
| Materials: |
README NEWS |
| In views: |
ReproducibleResearch |
| CRAN checks: |
reproducible results |