print.pglmm_mcmc

Implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) <doi:10.48550/arXiv.2510.08304>.

Matteo Amestoy

ProfileGLMM

Bayesian Profile Regression using Generalised Linear Mixed
Models

Mark van de Wiel

Wessel van Wieringen

print.pglmm_mcmc function

<dl><dt>x</dt>
<dd>An object of class <code>pglmm_mcmc</code></dd>
<dt>...</dt>
<dd>Additional arguments</dd></dl>

Arguments

Print method for pglmm_mcmc — print.pglmm_mcmc

<dl>

<dt>x</dt>
<dd>An object of class <code>pglmm_mcmc</code></dd>


<dt>...</dt>
<dd>Additional arguments</dd>

</dl>

print.pglmm_mcmc: Print method for pglmm_mcmc

Description

Usage

Arguments