add_rstan_model

Compile a <code>stanmodel</code> and add
it to a <code>brmsfit</code> object. This enables some advanced functionality
of rstan, most notably <code>log_prob</code>
and friends, to be used with brms models fitted with other Stan backends.

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

Aki Vehtari

Mattan S. Ben-Shachar

Hayden Rabel

Simon C. Mills

Stephen Wild

Ven Popov

add_rstan_model function

<dl><dt>x</dt>
<dd>A <code>brmsfit</code> object to be updated.</dd>
<dt>overwrite</dt>
<dd>Logical. If <code>TRUE</code>, overwrite any existing
<code>stanmodel</code>. Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Add compiled rstan models to brmsfit objects — add_rstan_model

<dl>

<dt>x</dt>
<dd>A <code>brmsfit</code> object to be updated.</dd>


<dt>overwrite</dt>
<dd>Logical. If <code>TRUE</code>, overwrite any existing
<code>stanmodel</code>. Defaults to <code>FALSE</code>.</dd>

</dl>

Add compiled rstan models to <code>brmsfit</code> objects

add_rstan_model: Add compiled rstan models to `brmsfit` objects

Description

Usage

Value

Arguments