[aut, cre],
Eli Lilly and Company [cph]Like similar profiling tools, the 'proffer' package automatically detects sources of slowness in R code. The distinguishing feature of 'proffer' is its utilization of 'pprof', which supplies interactive visualizations that are efficient and easy to interpret. Behind the scenes, the 'profile' package converts native Rprof() data to a protocol buffer that 'pprof' understands. For the documentation of 'proffer', visit <https://r-prof.github.io/proffer>. To learn about the implementations and methodologies of 'pprof', 'profile', and protocol buffers, visit <https://github.com/google/pprof>. <https://developers.google.com/protocol-buffers>, and <https://github.com/r-prof/profile>, respectively.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | cli, processx, profile, RProtoBuf, utils, withr |
| Suggests: | testthat (≥ 2.1.0) |
| Published: | 2020-03-23 |
| Author: | William Michael Landau
[aut, cre],
Eli Lilly and Company [cph] |
| Maintainer: | William Michael Landau <will.landau at gmail.com> |
| BugReports: | https://github.com/r-prof/proffer/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/r-prof/proffer, https://r-prof.github.io/proffer |
| NeedsCompilation: | no |
| SystemRequirements: | Graphviz (https://www.graphviz.org/), pprof (https://github.com/google/pprof) |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | proffer results |
| Reference manual: | proffer.pdf |
| Package source: | proffer_0.1.0.tar.gz |
| Windows binaries: | r-devel: proffer_0.1.0.zip, r-release: proffer_0.1.0.zip, r-oldrel: proffer_0.1.0.zip |
| macOS binaries: | r-release: proffer_0.1.0.tgz, r-oldrel: proffer_0.1.0.tgz |
| Old sources: | proffer archive |
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