q_complexity: A function to compute q-log complexity
In statcomp: Statistical Complexity and Information Measures for Time Series Analysis
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
View source: R/complexity_measures_q-log.R
Description
q-log complexity
Usage
1
q_complexity(opd, q)
Arguments
opd
A numeric vector that details an ordinal pattern distribution.
q
q-log parameter
Details
This function calculates the q-log complexity as described in Ribeiro et al. 2017.
Value
The q-log complexity value.
Author(s)
Sebastian Sippel
References
Ribeiro et al. 2017, https://arxiv.org/abs/1705.04779.
Examples
1
2
3
x = arima.sim(model=list(ar = 0.3), n = 10^4)
opd = ordinal_pattern_distribution(x = x, ndemb = 6)
q_complexity(opd = opd, q = 1)
statcomp documentation built on Oct. 18, 2019, 3:01 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details Value Author(s) References Examples
View source: R/complexity_measures_q-log.R
Description
q-log complexity
Usage
1 | q_complexity(opd, q)
|
Arguments
opd |
A numeric vector that details an ordinal pattern distribution. |
q |
q-log parameter |
Details
This function calculates the q-log complexity as described in Ribeiro et al. 2017.
Value
The q-log complexity value.
Author(s)
Sebastian Sippel
References
Ribeiro et al. 2017, https://arxiv.org/abs/1705.04779.
Examples
1 2 3 | x = arima.sim(model=list(ar = 0.3), n = 10^4)
opd = ordinal_pattern_distribution(x = x, ndemb = 6)
q_complexity(opd = opd, q = 1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.