acss: Algorithmic Complexity for Short Strings

Main functionality is to provide the algorithmic complexity for short strings, an approximation of the Kolmogorov Complexity of a short string using the coding theorem method (see ?acss). The database containing the complexity is provided in the data only package, this package provides functions accessing the data such as prob_random returning the posterior probability that a given string was produced by a random process. In addition, two traditional (but problematic) measures of complexity are also provided: entropy and change complexity.

Version: 0.2-5
Depends: R (≥ 2.15.0),
Imports: zoo
Suggests: effects, lattice
Published: 2014-11-25
Author: Nicolas Gauvrit [aut], Henrik Singmann [aut, cre], Fernando Soler Toscano [ctb], Hector Zenil [ctb]
Maintainer: Henrik Singmann <singmann+acss at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: acss citation info
Materials: NEWS
CRAN checks: acss results


Reference manual: acss.pdf
Package source: acss_0.2-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: acss_0.2-5.tgz, r-oldrel: acss_0.2-5.tgz
OS X Mavericks binaries: r-release: acss_0.2-5.tgz
Old sources: acss archive