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dyncomp  

Complexity of Short and Coarse-Grained Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("dyncomp", "0.0.2-1")



Attach the package and use:
library("dyncomp")
Maintained by
Tim Kaiser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-11
Latest Update: 2018-08-16
Description:
While there are many well-established measures for identifying critical fluctuations and phase transitions, these measures only work with many points of measurement and thus are unreliable when studying short and coarse-grained time series. This package provides a measure for complexity in a time series that does not rely on long time series (Kaiser (2017), ).
How to cite:
Tim Kaiser (2017). dyncomp: Complexity of Short and Coarse-Grained Time Series. R package version 0.0.2-1, https://cran.r-project.org/web/packages/dyncomp. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.1-5 (2017-12-11 16:42), 0.0.2-1 (2018-08-16 23:20)
Other packages that cited dyncomp R package
View dyncomp citation profile
Other R packages that dyncomp depends, imports, suggests or enhances
Complete documentation for dyncomp
Functions, R codes and Examples using the dyncomp R package
Some associated functions: complexity . 
Some associated R codes: complexity.R .  Full dyncomp package functions and examples
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