as.data.frame.brmsfit

as.matrix.brmsfit

as.array.brmsfit

Extract posterior draws in conventional formats
as data.frames, matrices, or arrays.

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

as.data.frame.brmsfit function

<dl><dt>x</dt>
<dd>A <code>brmsfit</code> object or another R object for which
the methods are defined.</dd>
<dt>row.names, optional</dt>
<dd>Unused and only added for consistency with
the <code><a href="/link/as.data.frame?package=brms&version=2.19.0" data-mini-rdoc="brms::as.data.frame">as.data.frame</a></code> generic.</dd>
<dt>pars</dt>
<dd>Deprecated alias of <code>variable</code>. For reasons of backwards
compatibility, <code>pars</code> is interpreted as a vector of regular
expressions by default unless <code>fixed = TRUE</code> is specified.</dd>
<dt>variable</dt>
<dd>A character vector providing the variables to extract.
By default, all variables are extracted.</dd>
<dt>draw</dt>
<dd>The draw indices to be select. Subsetting draw indices will lead
to an automatic merging of chains.</dd>
<dt>subset</dt>
<dd>Deprecated alias of <code>draw</code>.</dd>
<dt>...</dt>
<dd>Further arguments to be passed to the corresponding
<code>as_draws_*</code> methods as well as to
<code>subset_draws</code>.</dd></dl>

Arguments

Extract Posterior Draws — as.data.frame.brmsfit

<dl>

<dt>x</dt>
<dd>A <code>brmsfit</code> object or another R object for which
the methods are defined.</dd>


<dt>row.names, optional</dt>
<dd>Unused and only added for consistency with
the <code><a href='https://rdrr.io/r/base/as.data.frame.html'>as.data.frame</a></code> generic.</dd>


<dt>pars</dt>
<dd>Deprecated alias of <code>variable</code>. For reasons of backwards
compatibility, <code>pars</code> is interpreted as a vector of regular
expressions by default unless <code>fixed = TRUE</code> is specified.</dd>


<dt>variable</dt>
<dd>A character vector providing the variables to extract.
By default, all variables are extracted.</dd>


<dt>draw</dt>
<dd>The draw indices to be select. Subsetting draw indices will lead
to an automatic merging of chains.</dd>


<dt>subset</dt>
<dd>Deprecated alias of <code>draw</code>.</dd>


<dt>...</dt>
<dd>Further arguments to be passed to the corresponding
<code>as_draws_*</code> methods as well as to
<code>subset_draws</code>.</dd>

</dl>

Extract Posterior Draws

as.data.frame.brmsfit: Extract Posterior Draws

Description

Usage

Value

Arguments

See Also