expose_functions.brmsfit

expose_functions

Export user-defined Stan function and
optionally vectorize them. For more details see
<code>expose_stan_functions</code>.

Fit Bayesian generalized (non-)linear multivariate multilevel models
using 'Stan' for full Bayesian inference. A wide range of distributions
and link functions are supported, allowing users to fit -- among others --
linear, robust linear, count data, survival, response times, ordinal,
zero-inflated, hurdle, and even self-defined mixture models all in a
multilevel context. Further modeling options include both theory-driven and
data-driven non-linear terms, auto-correlation structures, censoring and
truncation, meta-analytic standard errors, and quite a few more.
In addition, all parameters of the response distribution can be predicted
in order to perform distributional regression. Prior specifications are
flexible and explicitly encourage users to apply prior distributions that
actually reflect their prior knowledge. Models can easily be evaluated and
compared using several methods assessing posterior or prior predictions.
References: Bürkner (2017) <doi:10.18637/jss.v080.i01>;
Bürkner (2018) <doi:10.32614/RJ-2018-017>;
Bürkner (2021) <doi:10.18637/jss.v100.i05>; Carpenter et al. (2017)
<doi:10.18637/jss.v076.i01>.

PaulChristian Buerkner

brms

Bayesian Regression Models using 'Stan'

Paul-Christian Bürkner

Jonah Gabry

Sebastian Weber

Andrew Johnson

Martin Modrak

Hamada S. Badr

Frank Weber

Mattan S. Ben-Shachar

Hayden Rabel

Simon C. Mills

Stephen Wild

expose_functions.brmsfit function

<dl><dt>x</dt>
<dd>An object of class <code>brmsfit</code>.</dd>
<dt>vectorize</dt>
<dd>Logical; Indicates if the exposed functions
should be vectorized via <code><a href="/link/Vectorize?package=brms&version=2.19.0" data-mini-rdoc="brms::Vectorize">Vectorize</a></code>.
Defaults to <code>FALSE</code>.</dd>
<dt>env</dt>
<dd>Environment where the functions should be made
available. Defaults to the global environment.</dd>
<dt>...</dt>
<dd>Further arguments passed to
<code>expose_stan_functions</code>.</dd></dl>

Arguments

Expose user-defined Stan functions — expose_functions.brmsfit

<dl>

<dt>x</dt>
<dd>An object of class <code>brmsfit</code>.</dd>


<dt>vectorize</dt>
<dd>Logical; Indicates if the exposed functions
should be vectorized via <code><a href='https://rdrr.io/r/base/Vectorize.html'>Vectorize</a></code>.
Defaults to <code>FALSE</code>.</dd>


<dt>env</dt>
<dd>Environment where the functions should be made
available. Defaults to the global environment.</dd>


<dt>...</dt>
<dd>Further arguments passed to
<code>expose_stan_functions</code>.</dd>

</dl>

Expose user-defined Stan functions

expose_functions.brmsfit: Expose user-defined Stan functions

Description

Usage

Arguments