add_qsig

Adds Benjamini-Hochberg adjusted q-values and a simple significance
code column based on p-values contained in a data frame.

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

add_qsig function

<dl><dt>df</dt>
<dd>A data frame containing at least a numeric column
<code>p_value</code>. If <code>df</code> is <code>NULL</code> or has zero rows,
it is returned unchanged.</dd></dl>

Arguments

Add BH-adjusted q-values and significance stars — add_qsig

<dl>

<dt>df</dt>
<dd>A data frame containing at least a numeric column
<code>p_value</code>. If <code>df</code> is <code>NULL</code> or has zero rows,
it is returned unchanged.</dd>

</dl>

add_qsig: Add BH-adjusted q-values and significance stars

Description

Usage

Value

Arguments

Details