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acss  

Algorithmic Complexity for Short Strings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("acss", "0.2-5")



Attach the package and use:
library("acss")
Maintained by
Henrik Singmann
[Scholar Profile | Author Map]
First Published: 2014-04-06
Latest Update: 2014-11-25
Description:
Main functionality is to provide the algorithmic complexity forshort strings, an approximation of the Kolmogorov Complexity of a shortstring using the coding theorem method (see ?acss). The database containingthe complexity is provided in the data only package acss.data, this packageprovides functions accessing the data such as prob_random returning theposterior probability that a given string was produced by a random process.In addition, two traditional (but problematic) measures of complexity arealso provided: entropy and change complexity.
How to cite:
Henrik Singmann (2014). acss: Algorithmic Complexity for Short Strings. R package version 0.2-5, https://cran.r-project.org/web/packages/acss. Accessed 21 Feb. 2025.
Previous versions and publish date:
0.1-1 (2014-04-06 07:26), 0.2-4 (2014-06-01 08:19)
Other packages that cited acss R package
View acss citation profile
Other R packages that acss depends, imports, suggests or enhances
Complete documentation for acss
Functions, R codes and Examples using the acss R package
Some associated functions: acss . entropy . exp1 . exp2 . matthews2013 . normalize_string . 
Some associated R codes: acss.R . exp1-data.R . exp2-data.R . helper.R . matthews2013-data.R . standard_complexity.R .  Full acss package functions and examples
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