combine_models

Combine multiple <code>brmsfit</code> objects, which fitted the same model.
This is usefully for instance when having manually run models in parallel.

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

combine_models function

<dl><dt>...</dt>
<dd>One or more <code>brmsfit</code> objects.</dd>
<dt>mlist</dt>
<dd>Optional list of one or more <code>brmsfit</code> objects.</dd>
<dt>check_data</dt>
<dd>Logical; indicates if the data should be checked
for being the same across models (defaults to <code>TRUE</code>).
Setting it to <code>FALSE</code> may be useful for instance
when combining models fitted on multiple imputed data sets.</dd></dl>

Arguments

Combine Models fitted with brms — combine_models

<dl>

<dt>...</dt>
<dd>One or more <code>brmsfit</code> objects.</dd>


<dt>mlist</dt>
<dd>Optional list of one or more <code>brmsfit</code> objects.</dd>


<dt>check_data</dt>
<dd>Logical; indicates if the data should be checked
for being the same across models (defaults to <code>TRUE</code>).
Setting it to <code>FALSE</code> may be useful for instance
when combining models fitted on multiple imputed data sets.</dd>

</dl>

Combine Models fitted with brms

combine_models: Combine Models fitted with brms

Description

Usage

Value

Arguments

Details