Pin remote resources into a local cache to work offline, improve speed and avoid recomputing; discover and share resources in local folders, 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can be anything from 'CSV', 'JSON', or image files to arbitrary R objects.
Version: | 0.3.2 |
Depends: | R (≥ 3.2.0) |
Imports: | base64enc, crayon, httr, jsonlite, magrittr, mime, openssl, rappdirs, withr, yaml, zip |
Suggests: | knitr, rmarkdown, R6, testthat |
Published: | 2020-02-06 |
Author: | Javier Luraschi [aut, cre], RStudio [cph] |
Maintainer: | Javier Luraschi <javier at rstudio.com> |
BugReports: | https://github.com/rstudio/pins/issues |
License: | Apache License 2.0 |
URL: | https://github.com/rstudio/pins |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | pins results |
Reference manual: | pins.pdf |
Vignettes: |
Using Azure Boards Extending Board Using Google Cloud Boards Using GitHub Boards Using Kaggle Boards Using RStudio Connect Boards Using S3 Boards Understanding Boards Using Website Boards Extending Pins Using Pins in RStudio Getting Started |
Package source: | pins_0.3.2.tar.gz |
Windows binaries: | r-devel: pins_0.3.1.zip, r-devel-gcc8: pins_0.3.1.zip, r-release: pins_0.3.2.zip, r-oldrel: pins_0.3.1.zip |
OS X binaries: | r-release: pins_0.3.2.tgz, r-oldrel: pins_0.3.2.tgz |
Old sources: | pins archive |
Reverse imports: | connections |
Reverse suggests: | tfhub |
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