check_model

In addition for validating the model, specific methods might add information
to the model object based on the provided data and formula

internal

developer

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

check_model function

<dl><dt>model</dt>
<dd>the model argument supplied by the user</dd>
<dt>data</dt>
<dd>the data argument supplied by the user</dd>
<dt>formula</dt>
<dd>the formula argument supplied by the user</dd></dl>

Arguments

Generic S3 method for checking if the model is supported and model preprocessing — check_model

<dl>

<dt>model</dt>
<dd>the model argument supplied by the user</dd>


<dt>data</dt>
<dd>the data argument supplied by the user</dd>


<dt>formula</dt>
<dd>the formula argument supplied by the user</dd>

</dl>

check_model: Generic S3 method for checking if the model is supported and model preprocessing

Description

Usage

Value

Arguments