qqresid {assessor} | R Documentation |

## QQ-plots of DPIT residuals

### Description

Makes a QQ-plot of the DPIT residuals calculated from `resid_disc()`

, `resid_semiconti()`

or `resid_zeroinfl()`

.
The plot should be close to the diagonal if the model is correctly specified.
Note that this function does not return residuals. To get both residuals and QQ-plot,
use `resid_disc()`

, `resid_semiconti()`

and `resid_zeroinfl()`

.

### Usage

```
qqresid(model, scale="normal")
```

### Arguments

`model` |
Fitted model object (e.g., |

`scale` |
You can choose the scale of the residuals between |

### Value

A QQ plot.

x-axis: Theoretical quantiles

y-axis: Sample quantiles generated by DPIT residuals

### See Also

`resid_disc()`

, `resid_semiconti()`

, `resid_zeroinfl()`

### Examples

```
n <- 100
b <- c(2, 1, -2)
x1 <- rnorm(n)
x2 <- rbinom(n, 1, 0.7)
y <- rpois(n, exp(b[1] + b[2] * x1 + b[3] * x2))
m1 <- glm(y ~ x1 + x2, family = poisson)
qqresid(m1, scale = "normal")
qqresid(m1, scale = "uniform")
```

*assessor*version 1.1.0 Index]