S3 methods for stanmvreg objects. There are also
several methods (listed in See Also, below) with their own
individual help pages.
The main difference between these methods and the
stanreg methods is that the methods described here
generally include an additional argument m
which allows the user to
specify which submodel they wish to return the result for. If the argument
m
is set to NULL
then the result will generally be a named list
with each element of the list containing the result for one of the submodels.
# S3 method for stanmvreg coef(object, m = NULL, ...) # S3 method for stanmvreg fitted(object, m = NULL, ...) # S3 method for stanmvreg residuals(object, m = NULL, ...) # S3 method for stanmvreg se(object, m = NULL, ...) # S3 method for stanmvreg formula(x, fixed.only = FALSE, random.only = FALSE, m = NULL, ...) # S3 method for stanmvreg update(object, formula., ..., evaluate = TRUE) # S3 method for stanjm update(object, formulaLong., formulaEvent., ..., evaluate = TRUE) # S3 method for stanmvreg fixef(object, m = NULL, remove_stub = TRUE, ...) # S3 method for stanmvreg ngrps(object, ...) # S3 method for stanmvreg ranef(object, m = NULL, ...) # S3 method for stanmvreg sigma(object, m = NULL, ...)
object, x  A fitted model object returned by one of the
multivariate rstanarm modelling functions. See


m  Integer specifying the number or name of the submodel 
...  Ignored, except by the 
fixed.only  A logical specifying whether to only retain the fixed effect part of the longitudinal submodel formulas 
random.only  A logical specifying whether to only retain the random effect part of the longitudinal submodel formulas 
formula.  An updated formula for the model. For a multivariate model

evaluate  See 
formulaLong., formulaEvent.  An updated formula for the longitudinal
or event submodel, when 
remove_stub  Logical specifying whether to remove the string identifying
the submodel (e.g. 
Most of these methods are similar to the methods defined for objects of class 'lm', 'glm', 'glmer', etc. However there are a few exceptions:
coef
Medians are used for point estimates. See the Point estimates section
in print.stanmvreg
for more details. coef
returns a list
equal to the length of the number of submodels. The first
elements of the list are the coefficients from each of the fitted longitudinal
submodels and are the same layout as those returned by coef
method of the
lme4 package, that is, the sum of the random and fixed effects coefficients
for each explanatory variable for each level of each grouping factor. The final
element of the returned list is a vector of fixed effect coefficients from the
event submodel.
se
The se
function returns standard errors based on
mad
. See the Uncertainty estimates section in
print.stanmvreg
for more details.
confint
Not supplied, since the posterior_interval
function should
be used instead to compute Bayesian uncertainty intervals.
residuals
Residuals are always of type "response"
(not "deviance"
residuals or any other type).
The print
,
summary
, and prior_summary
methods for stanmvreg
objects for information on the fitted model.
The plot
method to plot estimates and
diagnostics.
The pp_check
method for graphical posterior predictive
checking of the longitudinal or glmer submodels.
The ps_check
method for graphical posterior predictive
checking of the event submodel.
The posterior_traj
for predictions for the longitudinal
submodel (for models estimated using stan_jm
), as well as
it's associated plot
method.
The posterior_survfit
for predictions for the event
submodel, including socalled "dynamic" predictions (for models estimated
using stan_jm
), as well as
it's associated plot
method.
The posterior_predict
for predictions for the glmer
submodel (for models estimated using stan_mvmer
).
The posterior_interval
for uncertainty intervals for
model parameters.
The loo
,
and log_lik
methods for leaveoneout
model comparison, and computing the loglikelihood of (possibly new) data.
The as.matrix
, as.data.frame
,
and as.array
methods to access posterior draws.
Other S3 methods for stanmvreg objects, which have separate documentation,
including print.stanmvreg
, and summary.stanmvreg
.
Also posterior_interval
for an alternative to confint
,
and posterior_predict
, posterior_traj
and
posterior_survfit
for predictions based on the fitted joint model.