stanregmethods.Rd
The methods documented on this page are actually some of the least important methods defined for stanreg objects. The most important methods are documented separately, each with its own page. Links to those pages are provided in the See Also section, below.
# S3 method for stanreg coef(object, ...) # S3 method for stanreg confint(object, parm, level = 0.95, ...) # S3 method for stanreg fitted(object, ...) # S3 method for stanreg nobs(object, ...) # S3 method for stanreg residuals(object, ...) # S3 method for stanreg se(object, ...) # S3 method for stanreg update(object, formula., ..., evaluate = TRUE) # S3 method for stanreg vcov(object, correlation = FALSE, ...) # S3 method for stanreg fixef(object, ...) # S3 method for stanreg ngrps(object, ...) # S3 method for stanreg ranef(object, ...) # S3 method for stanreg sigma(object, ...) # S3 method for stanreg VarCorr(x, sigma = 1, ...)
object, x  A fitted model object returned by one of the
rstanarm modeling functions. See 

...  Ignored, except by the 
parm  For 
level  For 
formula., evaluate  See 
correlation  For 
sigma  Ignored (included for compatibility with

The methods documented on this page are similar to the methods defined for objects of class 'lm', 'glm', 'glmer', etc. However there are a few key differences:
residuals
Residuals are always of type "response"
(not "deviance"
residuals or any other type). However, in the case of stan_polr
with more than two response categories, the residuals are the difference
between the latent utility and its linear predictor.
coef
Medians are used for point estimates. See the Point estimates section
in print.stanreg
for more details.
se
The se
function returns standard errors based on
mad
. See the Uncertainty estimates section in
print.stanreg
for more details.
confint
For models fit using optimization, confidence intervals are returned via a
call to confint.default
. If algorithm
is
"sampling"
, "meanfield"
, or "fullrank"
, the
confint
will throw an error because the
posterior_interval
function should be used to compute Bayesian
uncertainty intervals.
The print
,
summary
, and prior_summary
methods for stanreg objects for information on the fitted model.
launch_shinystan
to use the ShinyStan GUI to explore a
fitted rstanarm model.
The plot
method to plot estimates and
diagnostics.
The pp_check
method for graphical posterior predictive
checking.
The posterior_predict
and predictive_error
methods for predictions and predictive errors.
The posterior_interval
and predictive_interval
methods for uncertainty intervals for model parameters and predictions.
The loo
, kfold
, and
log_lik
methods for leaveoneout or Kfold crossvalidation,
model comparison, and computing the loglikelihood of (possibly new) data.
The as.matrix
, as.data.frame
,
and as.array
methods to access posterior draws.