uic_across | R Documentation |
uic_across
Perform UIC for a target variable and multiple causal variables
uic_across(
block,
effect_var,
E_range = 0:10,
tp_range = -4:0,
tau = 1,
num_surr = 1000,
alpha = 0.05,
fdr = FALSE,
silent = FALSE
)
block |
Data.frame contains time series data. |
effect_var |
Character or Numeric. Column name or index of the effect variable. |
E_range |
Numeric. Embedding dimensions that will be tested. |
tp_range |
Numeric. |
tau |
Numeric. |
num_surr |
Numeric. The number of surrogate data generated to compute p-value. |
alpha |
Numeric. the significant level to determine the embedding dimension of reference model (i.e., |
fdr |
Logical. If |
silent |
Logical. if |
Osada & Ushio (2020) rUIC:Unified Information-theoretic Causality for R. https://doi.org/10.5281/zenodo.5163234
A data.frame that contains UIC results
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