predict.mjmcmc

Predict using a mjmcmc result object.

Implements the Mode Jumping Markov Chain Monte Carlo algorithm described in <doi:10.1016/j.csda.2018.05.020> and its Genetically Modified counterpart described in <doi:10.1613/jair.1.13047> as well as the sub-sampling versions described in <doi:10.1016/j.ijar.2022.08.018> for flexible Bayesian model selection and model averaging.

Jon Lachmann

FBMS

Flexible Bayesian Model Selection and Model Averaging

Aliaksandr Hubin

predict.mjmcmc function

<dl><dt>object</dt>
<dd>The model to use.</dd>
<dt>x</dt>
<dd>The new data to use for the prediction, a matrix where each row is an observation.</dd>
<dt>link</dt>
<dd>The link function to use</dd>
<dt>quantiles</dt>
<dd>The quantiles to calculate credible intervals for the posterior modes (in model space).</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Predict using a mjmcmc result object. — predict.mjmcmc

<dl>

<dt>object</dt>
<dd>The model to use.</dd>


<dt>x</dt>
<dd>The new data to use for the prediction, a matrix where each row is an observation.</dd>


<dt>link</dt>
<dd>The link function to use</dd>


<dt>quantiles</dt>
<dd>The quantiles to calculate credible intervals for the posterior modes (in model space).</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

predict.mjmcmc: Predict using a mjmcmc result object.

Description

Usage

Value

Arguments

Examples