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Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.
Version: | 1.0.2 |
Depends: | R (≥ 3.6.0) |
Suggests: | covr, diffr, ggplot2, httr, knitr, markdown, microbenchmark, rmarkdown, rstudioapi, rvest, shiny, shinythemes, testthat, xml2 |
Published: | 2021-04-17 |
DOI: | 10.32614/CRAN.package.rco |
Author: | Juan Cruz Rodriguez [aut, cre],
Yihui Xie |
Maintainer: | Juan Cruz Rodriguez <jcrodriguez at unc.edu.ar> |
BugReports: | https://github.com/jcrodriguez1989/rco/issues |
License: | GPL-3 |
URL: | https://jcrodriguez1989.github.io/rco/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | rco results |
Package source: | rco_1.0.2.tar.gz |
Windows binaries: | r-devel: rco_1.0.2.zip, r-release: rco_1.0.2.zip, r-oldrel: rco_1.0.2.zip |
macOS binaries: | r-release (arm64): rco_1.0.2.tgz, r-oldrel (arm64): rco_1.0.2.tgz, r-release (x86_64): rco_1.0.2.tgz, r-oldrel (x86_64): rco_1.0.2.tgz |
Old sources: | rco archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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