tanmaydixit16/testComplexity: Test the Empirical Computational Complexity of R Functions
R package developers currently use ad-hoc tests of asymptotic computational complexity via empirical timings of functions and visual diagnostic plots. However, there is no framework in R for systematically testing the empirical computational complexity of functions. This is a problem because such a testing framework could be essential for identifying big speed gains in R code. Therefore, testComplexity, which will provide a suite of functions that developers can use to systematically and reliably test empirical asymptotic complexity of their functions.
Getting started
Browse package contents
Package details |
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| Author | Tanmay Dixit <tanmayxdixit@gmail.com> |
| Maintainer | Tanmay Dixit <tanmayxdixit@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | https://github.com/tanmaydixit16/testComplexity |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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