`stapreg-objects.Rd`

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')

`stapreg`

objects`coefficients`

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.

`model,x,y,z`

If requested, the latent samples, 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.`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 stanfit object.`rstan_version`

The version of the rstan package that was used to fit the model.