stanreg-objects: Fitted model objects
Description
The model-fitting functions in rstanarm return an object
of class 'stanreg', which is a list containing at a minimum the components
listed below. Each stanreg object will also have additional classes (e.g.
'aov', 'glm', 'polr', etc.) and several additional components depending on
the model and estimation algorithm.
stanreg objects
coefficients-
Point estimates, as described in
print.stanreg.
ses-
Standard errors based on
mad, as described in
print.stanreg.
residuals-
Residuals of type
'response'.
fitted.values-
Fitted mean values. For GLMs the linear predictors are transformed by the
inverse link function.
linear.predictors-
Linear fit on the link scale. For linear models this is the same as
fitted.values.
covmat-
Variance-covariance matrix for the coefficients based on draws from the
posterior distribution, the variational approximation, or the asymptotic
sampling distribution, depending on the estimation algorithm.
model,x,y-
If requested, the the model frame, model matrix and response variable used,
respectively.
family-
The
family object used.
call-
The matched call.
formula-
The model
formula.
data,offset,weights-
The
data, offset, and weights arguments.
algorithm-
The estimation method used.
prior.info-
A list with information about the prior distributions used.
stanfit,stan_summary-
The object of
stanfit-class returned by RStan and a
matrix of various summary statistics from the stanfit object.