transfer_entropy_site: Compute a transfer entropy test at a given site in the...

Description Usage Arguments Value Author(s)

View source: R/transfer_entropy_site.R

Description

Given a site, determine if all possible combinations of the variables are Granger cause each other. The Null Hypothesis (H0) is that Time series x does not cause time series y, and the Alternative Hypothesis (HA): Time series x causes time series y

Usage

1
transfer_entropy_site(in_data, alpha, max_lag, bootstrap_samples = 1)

Arguments

in_data

data frame of the site we are studying. The first column contains the time variable

alpha

the significance level

max_lag

the maximum number of lags to be considered

bootstrap_samples

Number of bootstrap samples we apply

Value

A T/F value - this means that the conditional information is less than the significance level alpha for all the considered lags.

Author(s)

John Zobitz zobitz@augsburg.edu, based on code from Chandler Lutz, UCR 2009 (https://www.mathworks.com/matlabcentral/fileexchange/25467-granger-causality-test).


jmzobitz/FLUXNETGranger documentation built on Dec. 21, 2021, 1:13 a.m.