brmsfit-class

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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($fit) 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

brms, brm

Aliases
  • brmsfit-class
  • brmsfit
Documentation reproduced from package brms, version 0.10.0, License: GPL (>= 3)

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