complexity_Renyi: A function to compute Renyi 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_Renyi.R
Description
Renyi complexity
Usage
1
complexity_Renyi(opd, alpha)
Arguments
opd
A numeric vector that details an ordinal pattern distribution.
alpha
alpha parameter in Renyi complexity
Details
This function calculates the Renyi complexity as described in Jauregui et al., Physica A, 498 74-85, 2018.
Value
The Renyi complexity value.
Author(s)
Sebastian Sippel
References
Jauregui et al., Physica A, 498 74-85, 2018.
Examples
1
2
3
x = arima.sim(model=list(ar = 0.3), n = 10^4)
opd = ordinal_pattern_distribution(x = x, ndemb = 6)
complexity_Renyi(opd = opd, alpha = 0.5)
Example output
[1] 0.0216627
statcomp documentation built on Oct. 30, 2019, 11:15 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
View source: R/complexity_measures_Renyi.R
Description
Renyi complexity
Usage
1 | complexity_Renyi(opd, alpha)
|
Arguments
opd |
A numeric vector that details an ordinal pattern distribution. |
alpha |
alpha parameter in Renyi complexity |
Details
This function calculates the Renyi complexity as described in Jauregui et al., Physica A, 498 74-85, 2018.
Value
The Renyi complexity value.
Author(s)
Sebastian Sippel
References
Jauregui et al., Physica A, 498 74-85, 2018.
Examples
1 2 3 | x = arima.sim(model=list(ar = 0.3), n = 10^4)
opd = ordinal_pattern_distribution(x = x, ndemb = 6)
complexity_Renyi(opd = opd, alpha = 0.5)
|
Example output
[1] 0.0216627
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.
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