normalize_names

Removes common problematic Unicode characters from a character
vector (Byte Order Mark and non-breaking spaces) and trims leading
and trailing whitespace.

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

normalize_names function

<dl><dt>x</dt>
<dd>Character vector (e.g., column names) to normalize.</dd></dl>

Arguments

Normalize character names by stripping BOM and NBSP — normalize_names

<dl>

<dt>x</dt>
<dd>Character vector (e.g., column names) to normalize.</dd>

</dl>

normalize_names: Normalize character names by stripping BOM and NBSP

Description

Usage

Value

Arguments