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aprof  

Amdahl's Profiler, Directed Optimization Made Easy
View on CRAN: Click here


Download and install aprof package within the R console
Install from CRAN:
install.packages("aprof")

Install from Github:
library("remotes")
install_github("cran/aprof")

Install by package version:
library("remotes")
install_version("aprof", "0.4.1")



Attach the package and use:
library("aprof")
Maintained by
Marco D. Visser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-31
Latest Update: 2018-05-22
Description:
Assists the evaluation of whether and where to focus code optimization, using Amdahl's law and visual aids based on line profiling. Amdahl's profiler organizes profiling output files (including memory profiling) in a visually appealing way. It is meant to help to balance development vs. execution time by helping to identify the most promising sections of code to optimize and projecting potential gains. The package is an addition to R's standard profiling tools and is not a wrapper for them.
How to cite:
Marco D. Visser (2013). aprof: Amdahl's Profiler, Directed Optimization Made Easy. R package version 0.4.1, https://cran.r-project.org/web/packages/aprof. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1 (2013-10-31 18:41), 0.2.1 (2014-07-02 15:21), 0.2.4 (2014-11-21 00:58), 0.2.5 (2015-07-20 18:08), 0.2 (2014-05-14 18:11), 0.3.1 (2015-10-10 01:04), 0.3.2 (2016-03-25 00:13), 0.3.9 (2017-12-04 20:54)
Other packages that cited aprof R package
View aprof citation profile
Other R packages that aprof depends, imports, suggests or enhances
Complete documentation for aprof
Functions, R codes and Examples using the aprof R package
Some associated functions: aprof . is.aprof . plot . print . profileplot . readLineDensity . summary . targetedSummary . 
Some associated R codes: aprof.R .  Full aprof package functions and examples
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