QtAC_AIS: QtAC_AIS

In hannahschrenk/QtAC: Quantifying the Adaptive Cycle

QtAC_AIS

Description

This function calculates the active information storage of each species for shifting time windows of fixed length or local values. The output is a list of adjacency matrices and the corresponding significance matrices.

Usage

QtAC_AIS(
  data,
  num_timepoints,
  javapath,
  noise_level = "1e-20",
  num_permcheck = 1000L,
  k = 1L,
  k_tau = 1L,
  mode = c("average", "local"),
  save = FALSE,
  filename = "result_QtAC"
)

Arguments

data	data array containing time series of the system's components' abundance data
num_timepoints	length of the time windows of abundance data serving as basis of the active information storage estimations
javapath	path of the file "MTinfodynamics.jar"
noise_level	amount of random Gaussian noise added in the estimation
num_permcheck	number of surrogate samples to bootstrap to generate the distribution in the significance test
k	embedding length of destination past history to consider
k_tau	embedding delay
mode	Active information storage is either averaged over time windows ("average") or local values are estimated ("local"). In the latter case, the value of num_timepoints is ignored.
save	If save=TRUE, the output is saved in a file called filename.

Value

list of two vectors (AIS of all species and corresponding significance values)

hannahschrenk/QtAC documentation built on July 27, 2023, 5:35 a.m.