summary.brmsfit

object

Logical; Indicating if the WAIC should be computed
(this will take some time for larger models). 
Default is <code>FALSE</code>.

waic

Logical; Indicating if priors should be included 
in the summary. Default is <code>FALSE</code>.

priors

Logical; Indicating if summary results should
be cached for future use by rstan. Defaults to <code>TRUE</code>.
For models fitted with earlier versions of brms,
it may be necessary to set <code>use_cache</code> to
<code>FALSE</code> in order to get the <code>summary</code> 
method working correctly.

use_cache

Summarize estimated fixed and random effects as well as other useful
results included in a <code>brmsfit</code> object.

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

summary.brmsfit function

Logical; Indicating if summary results should
be cached for future use by rstan. Defaults to <code>TRUE</code>.
For models fitted with earlier versions of brms,
it may be necessary to set <code>use_cache</code> to
<code>FALSE</code> in order to get the <code>summary</code> 
method working correctly.

summary.brmsfit: Create a summary of a fitted model represented by a `brmsfit` object

Description

Usage

Arguments