p0p1

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

p0p1 function

<dl><dt>x</dt>
<dd>The vector of values</dd></dl>

Arguments

p0p1 polynomial term — p0p1

<dl>

<dt>x</dt>
<dd>The vector of values</dd>

</dl>

p0p1: p0p1 polynomial term

Description

Usage

Value

Arguments

Examples