standata

make_standata

<code>standata</code> is a generic function that can be used to
 generate data for Bayesian models to be passed to Stan. Its original use is
 within the brms package, but new methods for use
 with objects from other packages can be registered to the same generic.

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

standata function

<dl><dt>object</dt>
<dd>A formula object whose class will determine which method will
be used. A symbolic description of the model to be fitted.</dd>
<dt>...</dt>
<dd>Further arguments passed to the specific method.</dd>
<dt>formula</dt>
<dd>Synonym of <code>object</code> for use in <code>make_standata</code>.</dd></dl>

Arguments

Stan data for Bayesian models — standata

<dl>

<dt>object</dt>
<dd>A formula object whose class will determine which method will
be used. A symbolic description of the model to be fitted.</dd>


<dt>...</dt>
<dd>Further arguments passed to the specific method.</dd>


<dt>formula</dt>
<dd>Synonym of <code>object</code> for use in <code>make_standata</code>.</dd>

</dl>

Stan data for Bayesian models

standata: Stan data for Bayesian models

Description

Usage

Value

Arguments

Details

See Also

Examples