prebayesnecfit-class

prebayesnecfit

This is an intermediate class that was created to make both
<code>bayesnecfit</code> and <code>bayesmanecfit</code> objects lighter
to handle. It contains the original <code>brmsfit</code>
fitted object, name of non-linear model that was fitted, the list of
initialisation values applied, and the validated
<code>bayesnecformula</code>.

Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al. (2020)<doi:10.5281/ZENODO.3966864>).

Rebecca Fisher

bayesnec

A Bayesian No-Effect- Concentration (NEC) Algorithm

Diego R. Barneche

Gerard F. Ricardo

David R. Fox

prebayesnecfit-class function

<dl>
<dt><code>fit</code></dt>
<dd>The fitted Bayesian model of class <code>brmsfit</code>.</dd></dl>
<dt><code>model</code></dt>
<dd>A <code><a href="/link/character?package=bayesnec&version=2.1.3.0" data-mini-rdoc="bayesnec::character">character</a></code> string indicating the name of
the fitted model.</dd>
<dt><code>init</code></dt>
<dd>A <code><a href="/link/list?package=bayesnec&version=2.1.3.0" data-mini-rdoc="bayesnec::list">list</a></code> containing the initialisation values
for to fit the model.</dd>
<dt><code>bayesnecformula</code></dt>
<dd>An object of class <code>bayesnecformula</code> and
<code><a href="/link/formula?package=bayesnec&version=2.1.3.0" data-mini-rdoc="bayesnec::formula">formula</a></code>.</dd>

Slots

Class prebayesnecfit of models fitted with the brms package — prebayesnecfit-class

<dl>
<dt><code>fit</code></dt>
<dd>The fitted Bayesian model of class <code>brmsfit</code>.</dd>


<dt><code>model</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/character.html'>character</a></code> string indicating the name of
the fitted model.</dd>


<dt><code>init</code></dt>
<dd>A <code><a href='https://rdrr.io/r/base/list.html'>list</a></code> containing the initialisation values
for to fit the model.</dd>


<dt><code>bayesnecformula</code></dt>
<dd>An object of class <code>bayesnecformula</code> and
<code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code>.</dd>


</dl>

prebayesnecfit-class: Class `prebayesnecfit` of models fitted with the brms package

Description

Arguments

Slots

Details

See Also