Directed EMG Network via Pairwise Granger Causality — emgDirectedGCNetwork • PhysioEMG

Estimates a directed muscle coordination network using pairwise Granger causality in the time domain.

Usage

emgDirectedGCNetwork(
  x,
  channels = NULL,
  assay_name = NULL,
  max_lag = 10L,
  score = c("f_stat", "delta_r2"),
  threshold = NULL,
  p_value_cutoff = NULL,
  standardize = TRUE
)

Arguments

x: A PhysioExperiment object.
channels: Integer vector of channel indices to include. If NULL, uses all.
assay_name: Input assay name. If NULL, uses default assay.
max_lag: Lag order (in samples) for autoregressive modeling.
score: Directed edge metric: "f_stat" or "delta_r2".
threshold: Optional threshold for adjacency based on selected score.
p_value_cutoff: Optional p-value threshold for adjacency.
standardize: Logical; if TRUE, z-score each channel before GC.

Value

A list with:

network: Directed numeric matrix (source x target).
p_values: Directed matrix of GC p-values.
adjacency: Logical directed matrix, or NULL.
channel_names: Channel labels used in the network.
lag: Lag order used for modeling.