.get_stat

Helper to extract a single transfer-entropy-like statistic from a
coefficient table. It looks for columns named <code>"Eff. TE"</code> or
<code>"TE"</code> (in that order) and falls back to the first column if
neither is present.

internal

Provides tools for fitting bivariate hurdle negative binomial
models with horseshoe priors, Bayesian Model Averaging (BMA) via stacking,
and comprehensive causal inference methods including G-computation,
transfer entropy, Threshold Vector Autoregressive (TVAR) and Smooth
Transition Autoregressive (STAR) models, Dynamic Bayesian Networks (DBN),
Hidden Markov Models (HMM), and sensitivity analysis.

José Mauricio Gómez Julián

bivarhr

Bivariate Hurdle Regression with Bayesian Model Averaging

.get_stat function

<dl><dt>obj</dt>
<dd>An object produced by RTransferEntropy (or similar) for
which <code>coef(obj)</code> returns a matrix.</dd></dl>

Arguments

Extract TE statistic from RTransferEntropy result — .get_stat

<dl>

<dt>obj</dt>
<dd>An object produced by RTransferEntropy (or similar) for
which <code>coef(obj)</code> returns a matrix.</dd>

</dl>

.get_stat: Extract TE statistic from RTransferEntropy result

Description

Usage

Value

Arguments