Anirban166/testComplexity: Asymptotic Complexity Testing Framework

It classifies the asymptotic time/memory complexity class for an algorithm/function through the complexity classifiers, with data frames returned by the quantifiers. The data frames can be passed onto the plotting functions for obtaining a visual description of the benchmarks against data sizes if the user intends to diagnose the trend via the traditional method. For testing the algorithm against an expected time complexity class, the user can directly use the expect functions. Please check <https://anirban166.github.io/testComplexity/articles/testComplexity> to get started.

install.packages("remotes")
remotes::install_github("Anirban166/testComplexity")