summarise_te_top3_posthoc: Summarise top-3 transfer entropy results (global)

In bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

Summarise top-3 transfer entropy results (global)

Description

Produces a compact summary of the three most statistically significant transfer entropy estimates across directions and lags, optionally combining information from counts, rates, and binary specifications.

Usage

summarise_te_top3_posthoc(te_tab, dir_csv)

Arguments

te_tab	Optional data frame with transfer entropy results, containing at least columns lag, TE_ItoC, TE_CtoI, p_ItoC, p_CtoI, and optionally type. If NULL or empty, the function attempts to read the data from CSV files via the internal helper .read_te_all().
dir_csv	Character scalar; directory where the transfer entropy CSV files are stored (used when te_tab is missing).

Details

The function reshapes te_tab into a long format with directions "I->C" and "C->I", orders by p-value (ascending) and lag, and keeps the three rows with the smallest p-values.

Value

A data frame with up to three rows and columns:

• model: constant string "TransferEntropy".

• config: textual description of direction, lag, and, if available, type (counts, rates, binary).

• stat: transfer entropy estimate.

• p_value: associated p-value.

If no results are available, a single-row data frame with NA entries is returned.

bivarhr documentation built on July 7, 2026, 1:06 a.m.