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proffer
View on CRAN: Click
here
Download and install proffer package within the R console
Install from CRAN:
install.packages("proffer")
Install from Github:
library("remotes")
install_github("cran/proffer") Install by package version:
library("remotes")
install_version("proffer", "0.2.2") Attach the package and use:
library("proffer")
Maintained by
William Michael Landau
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-20
Latest Update: 2024-11-15
Description:
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 .
To learn about the implementations and methodologies of
'pprof', 'profile', and protocol buffers,
visit .
,
and , respectively.
How to cite:
William Michael Landau (2019). proffer: Profile R Code and Visualize with 'Pprof'. R package version 0.2.2, https://cran.r-project.org/web/packages/proffer. Accessed 07 Jun. 2026.
Previous versions and publish date:
Other packages that cited proffer R package
View proffer citation profile
Other R packages that proffer depends,
imports, suggests or enhances
Complete documentation for proffer
Functions, R codes and Examples using
the proffer R package
Some associated functions: install_go . pprof . pprof_path . pprof_sitrep . proffer-package . random_port . record_pprof . record_rprof . serve_pprof . serve_rprof . test_pprof . to_pprof . to_rprof .
Some associated R codes: install.R . package.R . path.R . pprof.R . record.R . sitrep.R . utils.R . Full proffer package functions and examples
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