.is_binary_like

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

.is_binary_like function

<dl><dt>x</dt>
<dd>A vector to check.</dd></dl>

Arguments

Check if Vector is Binary-like — .is_binary_like

<dl>

<dt>x</dt>
<dd>A vector to check.</dd>

</dl>

.is_binary_like: Check if Vector is Binary-like

Description

Usage

Value

Arguments