b_prior-class

b_prior

An S4 class for defining priors for Bayesian models.

Contains several Bayesian models for data analysis of psychological tests. A user friendly interface for these models should enable students and researchers to perform professional level Bayesian data analysis without advanced knowledge in programming and Bayesian statistics. This package is based on the Stan platform (Carpenter et el. 2017 <doi:10.18637/jss.v076.i01>).

Jure Dem<c5><a1>ar

bayes4psy

User Friendly Bayesian Data Analysis for Psychology

Jure Demšar

Grega Repovš

Erik Štrumbelj

Trustees of Columbia University

John Kruschke

Rasmus Baath

b_prior-class function

<dl>
<dt><code>family</code></dt>
<dd>Prior family - \"uniform\", \"normal\", \"gamma\" or \"beta\".</dd></dl>
<dt><code>pars</code></dt>
<dd>Parameters of the prior - a vector of two numerical values.</dd>

Slots

b_prior — b_prior-class

<dl>
<dt><code>family</code></dt>
<dd>Prior family - \"uniform\", \"normal\", \"gamma\" or \"beta\".</dd>


<dt><code>pars</code></dt>
<dd>Parameters of the prior - a vector of two numerical values.</dd>


</dl>

b_prior-class: b_prior

Description

Arguments

Slots