pins: Pin, Discover and Share Resources

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: 0.1.2
Depends: R (≥ 3.2.0)
Imports: base64enc, httr, jsonlite, magrittr, openssl, withr, yaml, zip
Suggests: knitr, rmarkdown, R6, testthat
Published: 2019-09-04
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

Downloads:

Reference manual: pins.pdf
Vignettes: Extending Board
Using GitHub Boards
Using Kaggle Boards
Using RStudio Connect Boards
Understanding Boards
Using Website Boards
Extending Pins
Using Pins in RStudio
Getting Started
Package source: pins_0.1.2.tar.gz
Windows binaries: r-devel: pins_0.1.2.zip, r-release: pins_0.1.2.zip, r-oldrel: pins_0.1.2.zip
OS X binaries: r-release: pins_0.1.2.tgz, r-oldrel: pins_0.1.2.tgz
Old sources: pins archive

Linking:

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