Package: statcomp
Title: Statistical Complexity and Information Measures for Time Series
        Analysis
Version: 0.1.0
Authors@R: c(person("Sebastian", "Sippel", , "sebastian.sippel@env.ethz.ch", role = c("aut", "cre"), comment = "Original package development was supported by MPI Biogeochemistry, BGI Department"), person("Holger", "Lange", , "Holger.Lange@nibio.no", role = c("aut")), person("Fabian", "Gans", , "fgans@bgc-jena.mpg.de", role = c("aut")))
Description: An implementation of local and global statistical complexity measures (aka Information Theory Quantifiers, ITQ) for time series analysis based on ordinal statistics (Bandt and Pompe (2002) <DOI:10.1103/PhysRevLett.88.174102>). Several distance measures that operate on ordinal pattern distributions, auxiliary functions for ordinal pattern analysis, and generating functions for stochastic and deterministic-chaotic processes for ITQ testing are provided. 
Depends: R (>= 2.7.0)
License: GPL-2
LazyData: true
Imports: stats, zoo, Matrix, graphics
RoxygenNote: 6.1.1
NeedsCompilation: yes
Packaged: 2019-10-28 21:33:00 UTC; sippels
Author: Sebastian Sippel [aut, cre] (Original package development was supported
    by MPI Biogeochemistry, BGI Department),
  Holger Lange [aut],
  Fabian Gans [aut]
Maintainer: Sebastian Sippel <sebastian.sippel@env.ethz.ch>
Repository: CRAN
Date/Publication: 2019-10-28 23:40:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 02:03:57 UTC; unix
Archs: statcomp.so.dSYM
