excess_entropy: Excess Entropy

In rinform: An R Wrapper of the 'Inform' C Library for Information Analysis of Complex Systems

Description

Compute the average or local excess entropy of a time series with block size k.

Usage

excess_entropy(series, k, local = FALSE)

Arguments

series	Vector or matrix specifying one or more time series.
k	Integer giving the block size.
local	Boolean specifying whether to compute the local excess entropy.

Value

Numeric giving the average excess entropy or a vector giving the local excess entropy.

Examples

# Single initial conditions
xs <- c(0, 0, 1, 1, 0, 0, 1, 1, 0)
excess_entropy(xs, k = 2) # 1.918296

# [1.585 1.585 2.585 2.585 1.585 1.585]
excess_entropy(xs, k = 2, local = TRUE)

# Multiple initial conditions
xs      <- matrix(0, nrow = 9, ncol = 2)
xs[, 1] <- c(0, 0, 1, 1, 0, 0, 1, 1, 0)
xs[, 2] <- c(0, 1, 0, 1, 0, 1, 0, 1, 0)
excess_entropy(xs, k = 2) # 1.109170

# [, 1] 2.585 -0.059 3.585 -0.415 2.585 -0.059
# [, 2] 0.848  0.848 0.848  0.848 0.848  0.848
excess_entropy(xs, k = 2, local = TRUE)

rinform documentation built on April 1, 2018, 12:12 p.m.