.first_pvalue

Attempts to extract a single p-value from a variety of test result
objects, including nested lists produced by functions in the
vars package and related diagnostics.

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

.first_pvalue function

<dl><dt>x</dt>
<dd>An object potentially containing a p-value, such as:<ul>
<li>A list with element <code>p.value</code>.</li>
<li>A list with nested elements like <code>LMh</code>, <code>LMFh</code>,
<code>pt.mul</code>, <code>jb.mul</code>, <code>arch.mul</code>, <code>arch.uni</code>.</li>
<li>A numeric value that can be interpreted as a p-value.</li>
</ul></dd></dl>

Arguments

Extract a p-value from nested test objects — .first_pvalue

<dl>

<dt>x</dt>
<dd>An object potentially containing a p-value, such as:<ul>
<li>A list with element <code>p.value</code>.</li>
<li>A list with nested elements like <code>LMh</code>, <code>LMFh</code>,
<code>pt.mul</code>, <code>jb.mul</code>, <code>arch.mul</code>, <code>arch.uni</code>.</li>
<li>A numeric value that can be interpreted as a p-value.</li>
</ul></dd>

</dl>

.first_pvalue: Extract a p-value from nested test objects

Description

Usage

Value

Arguments

Details