Extract residuals from an object of class JointAI

```
# S3 method for JointAI
residuals(object, type = c("working", "pearson", "response"), warn = TRUE, ...)
```

## Arguments

- object
object inheriting from class 'JointAI'

- type
type of residuals: `"deviance"`

, `"response"`

,
`"working"`

- warn
logical; should warnings be given? Default is
`TRUE`

.

- ...
currently not used

## Note

For mixed models residuals are currently calculated using the fixed
effects only.

For ordinal (mixed) models and parametric survival models only
`type = "response"`

is available.

For Cox proportional hazards models residuals are not yet implemented.

## Examples

```
mod <- glm_imp(B1 ~ C1 + C2 + O1, data = wideDF, n.iter = 100,
family = binomial(), mess = FALSE)
summary(residuals(mod, type = 'response')[[1]])
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 0.1471 0.1471 0.1471 0.1471 0.1471 0.1471
summary(residuals(mod, type = 'working')[[1]])
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 1.172 1.172 1.172 1.172 1.172 1.172
```