# brmsfit-class

#####
Class `brmsfit`

of fitted mixed-effect models

Models fitted with the `brms`

package are represented as a `brmsfit`

object, which contains the posterior samples, the model code, the relevant data, the model formula, and some other useful information.

##### Details

Currently, the following S3 methods are available for class `brmsfit`

:
`as.mcmc`

,
`coef`

,
`family`

,
`fitted`

,
`fixef`

,
`formula`

,
`hypothesis`

,
`launch_shiny`

,
`logLik`

,
`LOO`

,
`marginal_effects`

,
`model.frame`

,
`ngrps`

,
`nobs`

,
`pairs`

,
`parnames`

,
`plot`

,
`posterior_samples`

,
`predict`

,
`print`

,
`prior_samples`

,
`ranef`

,
`residuals`

,
`stancode`

,
`standata`

,
`stanplot`

,
`summary`

,
`update`

,
`VarCorr`

,
`vcov`

,
`WAIC`

.
`brmsfit`

objects do not have their own `tidy`

method yet,
but you may use `broom::tidyMCMC(`

to
apply the `tidy`

method for `stanfit`

objects.

##### Slots

`formula`

:- model formula; an object of class
`formula`

`family`

:- model family; an object of class
`family`

`link`

:- link function; a character string (deprecated)
`data.name`

:- name of the data frame; a character string
`data`

:- model.frame containing all variables used in the model
`model`

:- model in Stan language; a character string
`exclude`

:- parameters for which samples are not saved; a character vector
`prior`

:- priors applied in the model; a matrix
`ranef`

:- random effects structure; a named list
`autocor`

:- an object of class
`cor_brms`

containing the autocorrelation structure `partial`

:- formula of the category specific effects applied in ordinal models
`cov_ranef`

:- a list of customized random effects covariance matrices
`fit`

:- fitted results including the posterior samples;
an object of class
`stanfit`

`algorithm`

:- the name of the algorithm used to fit the model

##### See Also

*Documentation reproduced from package brms, version 0.10.0, License: GPL (>= 3)*