[ctb],
Nicolás Wolovick [ctb]Automatically apply different strategies to optimize R code. 'rco' functions take R code as input, and returns R code as output.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.6.0) |
| Suggests: | covr, diffr, ggplot2, httr, knitr, microbenchmark, rstudioapi, rvest, shiny, shinythemes, testthat, xml2 |
| Published: | 2020-02-08 |
| Author: | Juan Cruz Rodriguez [aut, cre],
Yihui Xie [ctb],
Nicolás Wolovick [ctb] |
| 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 |
| Reference manual: | rco.pdf |
| Vignettes: |
Contributing an optimizer Docker file Common Subexpression Elimination Constant Folding Constant Propagation Dead Code Elimination Dead Expression Elimination Dead Store Elimination Loop-invariant Code Motion |
| Package source: | rco_1.0.1.tar.gz |
| Windows binaries: | r-devel: rco_1.0.1.zip, r-release: rco_1.0.1.zip, r-oldrel: rco_1.0.1.zip |
| macOS binaries: | r-release: rco_1.0.1.tgz, r-oldrel: rco_1.0.1.tgz |
| Old sources: | rco archive |
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