Description Usage Arguments Value Elements for stapreg objects
The rstap model-fitting functions return an object of class
'stapreg'
, which is a list containing at a minimum the components listed
below. Each stapreg
object will also have additional classes (e.g. 'glm')
and several additional components depending on the model and estimation
algorithm.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
object |
A fitted model object returned by one of the
rstap modeling functions. See |
... |
Other arguments passed to methods. For a |
For get_x
and get_z
, a matrix. For get_y
, either
a vector or a matrix, depending on how the response variable was specified.
stapreg
objectscoefficients
Point estimates, as described in print.stapreg
.
ses
Standard errors based on mad
, as described in
print.stapreg
.
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,z
If requested, the the model frame, model matrix and response variable used, respectively. Note that z corresponds to the fixed covariates, z to the spatial aggregated covariates, and y the response.
family
The family
object used.
call
The matched call.
formula
The model formula
.
data,offset,weights
The data
, offset
, and weights
arguments.
prior.info
A list with information about the prior distributions used.
stapfit,stan_summary
The object of stanfit-class
returned by RStan and a
matrix of various summary statistics from the stapfit object.
rstan_version
The version of the rstan package that was used to fit the model.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.