c_parametrizations

c_sqrtexp2bessel

c_bessel2sqrtexp

Convert between parametrizations of the c parameter of the SDM distribution

transform

Fit computational and measurement models using full Bayesian
inference. The package provides a simple and accessible interface by
translating complex domain-specific models into 'brms' syntax, a
powerful and flexible framework for fitting Bayesian regression models
using 'Stan'. The package is designed so that users can easily apply
state-of-the-art models in various research fields, and so that
researchers can use it as a new model development framework.
References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.

Vencislav Popov

Easy and Accessible Bayesian Measurement Models Using 'brms'

Gidon T. Frischkorn

Paul-Christian Bürkner

c_parametrizations function

<dl><dt>c</dt>
<dd>Vector of memory strength values</dd>
<dt>kappa</dt>
<dd>Vector of precision values</dd></dl>

Arguments

Convert between parametrizations of the c parameter of the SDM distribution — c_parametrizations

<dl>

<dt>c</dt>
<dd>Vector of memory strength values</dd>


<dt>kappa</dt>
<dd>Vector of precision values</dd>

</dl>

c_parametrizations: Convert between parametrizations of the c parameter of the SDM distribution

Description

Usage

Value

Arguments

Details

Examples