brmsfit-class

brmsfit


Models fitted with the <code><a rd-options="brms:brms" href="/link/brms?package=brms&version=1.3.1&to=brms%3Abrms" data-mini-rdoc="brms:brms::brms">brms</a></code> package are represented as a <code>brmsfit</code> object, which contains the posterior samples, model formula, <span class="pkg">Stan</span> code, relevant data, and other useful information.


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

brmsfit-class function

Slots


Models fitted with the <code><a rd-options='brms:brms' href='brms'>brms</a></code> package are represented as a <code>brmsfit</code> object, which contains the posterior samples, model formula, <span class = "pkg">Stan</span> code, relevant data, and other useful information.


brmsfit-class: Class `brmsfit` of models fitted with the brms package

Description

Arguments

Slots

Details

See Also