plot.brmsfit

Names of the parameters to plot, as given by a character vector 
or a regular expression. By default, all parameters except 
for group-level and smooth effects are plotted.

pars

parameters

A character vector with at least two elements. 
Each element of <code>combo</code> corresponds to a column in the resulting 
graphic and should be the name of one of the available 
<code>link[bayesplot:MCMC-overview]{MCMC}</code> functions 
(omitting the <code>mcmc_</code> prefix).

combo

The number of parameters plotted per page.

Indicates whether parameter names 
should be matched exactly or treated as regular expression. 
Default is <code>FALSE</code>.

exact_match

A <code><a rd-options="ggplot2:theme" href="/link/theme?package=brms&version=1.3.1&to=ggplot2%3Atheme" data-mini-rdoc="ggplot2:theme::theme">theme</a></code> object 
modifying the appearance of the plots. 
For some basic themes see <code><a rd-options="ggplot2:ggtheme" href="/link/ggtheme?package=brms&version=1.3.1&to=ggplot2%3Aggtheme" data-mini-rdoc="ggplot2:ggtheme::ggtheme">ggtheme</a></code>
and <code><a rd-options="bayesplot:theme_default" href="/link/theme_default?package=brms&version=1.3.1&to=bayesplot%3Atheme_default" data-mini-rdoc="bayesplot:theme_default::theme_default">theme_default</a></code>.
Can be defined globally for the current session, via
<code><a rd-options="ggplot2:theme_update" href="/link/theme_set?package=brms&version=1.3.1&to=ggplot2%3Atheme_update" data-mini-rdoc="ggplot2:theme_update::theme_set">theme_set</a></code>.

theme

logical; indicates if plots should be
plotted directly in the active graphic device.
Defaults to <code>TRUE</code>.

plot

logical; indicates if the user is prompted 
before a new page is plotted. 
Only used if <code>plot</code> is <code>TRUE</code>.

logical; indicates if the first set of plots
should be plotted to a new page. 
Only used if <code>plot</code> is <code>TRUE</code>.

newpage

Further arguments passed to 
<code><a rd-options="bayesplot:mcmc_combo" href="/link/mcmc_combo?package=brms&version=1.3.1&to=bayesplot%3Amcmc_combo" data-mini-rdoc="bayesplot:mcmc_combo::mcmc_combo">mcmc_combo</a></code>.


Trace and Density Plots for MCMC Samples


Fit Bayesian generalized (non-)linear multilevel models
using Stan for full Bayesian inference. A wide range of distributions
and link functions are supported, allowing users to fit
linear, robust linear, binomial, Poisson, survival, response times, ordinal,
zero-inflated, hurdle, and even non-linear models all in a multilevel context.
Further modeling options include auto-correlation and smoothing terms,
user defined dependence structures, censored data, 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 beliefs.
In addition, model fit can easily be assessed and compared with
posterior predictive checks and leave-one-out cross-validation.

PaulChristian Buerkner

brms

Bayesian Regression Models using Stan

plot.brmsfit function

A <code><a rd-options='ggplot2:theme' href='theme'>theme</a></code> object 
modifying the appearance of the plots. 
For some basic themes see <code><a rd-options='ggplot2:ggtheme' href='ggtheme'>ggtheme</a></code>
and <code><a rd-options='bayesplot:theme_default' href='theme_default'>theme_default</a></code>.
Can be defined globally for the current session, via
<code><a rd-options='ggplot2:theme_update' href='theme_set'>theme_set</a></code>.

Further arguments passed to 
<code><a rd-options='bayesplot:mcmc_combo' href='mcmc_combo'>mcmc_combo</a></code>.

plot.brmsfit: Trace and Density Plots for MCMC Samples

Description

Usage

Arguments

Value

Examples