QtAC | R Documentation |
This function calculates the transfer entropy between two species each for shifting time windows of fixed length or local values. The output is a list of adjacency matrices and the corresponding significance matrices.
QtAC(
data,
num_timepoints,
javapath,
noise_level = "1e-20",
num_permcheck = 1000L,
k = 1L,
k_tau = 1L,
l = 1L,
l_tau = 1L,
delay = 1L,
mode = c("average", "local"),
save = FALSE,
filename = "result_QtAC"
)
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 transfer entropy 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 for the destination variable |
l |
embedding length of source past history to consider |
l_tau |
embedding delay for the source variable |
delay |
time lag between last element of source and destination next value |
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. |
list of two lists (adjacency and corresponding significance matrices)
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