summarise_varx_posthoc

Produces a compact summary of a VARX model, including information
about lag order, exogenous variables, information criteria, and
selected diagnostic p-values.

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

summarise_varx_posthoc function

<dl><dt>varx_res</dt>
<dd>A list returned by <code>run_varx()</code>, typically
containing elements <code>$fit</code>, <code>$serial</code>, <code>$normal</code>,
and <code>$arch</code>.</dd></dl>

Arguments

Summarise VARX model fit and diagnostics — summarise_varx_posthoc

<dl>

<dt>varx_res</dt>
<dd>A list returned by <code>run_varx()</code>, typically
containing elements <code>$fit</code>, <code>$serial</code>, <code>$normal</code>,
and <code>$arch</code>.</dd>

</dl>

summarise_varx_posthoc: Summarise VARX model fit and diagnostics

Description

Usage

Value

Arguments

Details