p0pm1

Implements MJMCMC (mode jumping MCMC) described in Hubin and Storvik (2018) <doi:10.1016/j.csda.2018.05.020> and GMJMCMC (genetically modified MJMCMC) described in Hubin et al. (2021) <doi:10.1613/jair.1.13047> algorithms as well as the subsampling counterpart described in Lachmann et al. (2022) <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

p0pm1 function

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

Arguments

p0pm1 polynomial terms — p0pm1

<dl>

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

</dl>

p0pm1: p0pm1 polynomial terms

Description

Usage

Value

Arguments

Examples