logistic.loglik.alpha

Log likelihood function for logistic regression for alpha calculation
This function is just the bare likelihood function

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

logistic.loglik.alpha function

<dl><dt>a</dt>
<dd>A vector of the alphas to be used</dd>
<dt>data</dt>
<dd>The data to be used for calculation</dd>
<dt>mu_func</dt>
<dd>The function linking the mean to the covariates,
as a string with the alphas as a[i].</dd></dl>

Arguments

Log likelihood function for logistic regression for alpha calculation
This function is just the bare likelihood function — logistic.loglik.alpha

<dl>

<dt>a</dt>
<dd>A vector of the alphas to be used</dd>


<dt>data</dt>
<dd>The data to be used for calculation</dd>


<dt>mu_func</dt>
<dd>The function linking the mean to the covariates,
as a string with the alphas as a[i].</dd>

</dl>

logistic.loglik.alpha: Log likelihood function for logistic regression for alpha calculation This function is just the bare likelihood function

Description

Usage

Value

Arguments