mcmc_hdi

A function for calculating the HDI (highest density interval) of a vector of values.

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

mcmc_hdi function

<dl><dt>samples</dt>
<dd>vector of values.</dd>
<dt>cred_mass</dt>
<dd>credibility mass that the interval should include (default = 0.95).</dd></dl>

Arguments

Author

mcmc_hdi — mcmc_hdi

<dl>

<dt>samples</dt>
<dd>vector of values.</dd>


<dt>cred_mass</dt>
<dd>credibility mass that the interval should include (default = 0.95).</dd>

</dl>

mcmc_hdi: mcmc_hdi

Description

Usage

Value

Arguments

Author