calc_error_relative_to_nontargets

Given a vector of responses, and the values of non-targets, this
function computes the error relative to each of the non-targets.

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

calc_error_relative_to_nontargets function

<dl><dt>data</dt>
<dd>A <code>data.frame</code> object where each row is a single observation</dd>
<dt>response</dt>
<dd>Character. The name of the column in <code>data</code> which contains
the response</dd>
<dt>nt_features</dt>
<dd>Character vector. The names of the columns in <code>data</code> which
contain the values of the non-targets</dd></dl>

Arguments

Calculate response error relative to non-target values — calc_error_relative_to_nontargets

<dl>

<dt>data</dt>
<dd>A <code>data.frame</code> object where each row is a single observation</dd>


<dt>response</dt>
<dd>Character. The name of the column in <code>data</code> which contains
the response</dd>


<dt>nt_features</dt>
<dd>Character vector. The names of the columns in <code>data</code> which
contain the values of the non-targets</dd>

</dl>

calc_error_relative_to_nontargets: Calculate response error relative to non-target values

Description

Usage

Value

Arguments

Examples