residuals.maxlogL {EstimationTools} | R Documentation |

## Extract Residuals from `maxlogL`

model.

### Description

`residuals.,axlogL`

is the `maxlogLreg`

specific method for the
generic function residuals which extracts the residuals from a fitted model.

### Usage

```
## S3 method for class 'maxlogL'
residuals(object, parameter = NULL, type = c("deviance", "response"), ...)
```

### Arguments

`object` |
an object of |

`parameter` |
a character which specifies the parameter whose normalized quantile residuals will be computed. |

`type` |
a character with the type of residuals to be computed required.
The default value is |

`...` |
for extra arguments. |

### Details

For `type = "deviance"`

, the residuals are computed using the following
expression

`r^D_i = \mbox{sign}(y_i - \hat{\mu}_i) d_i^{1/2},`

where `d_i`

is the residual deviance of each data point. In this context,
`\hat{\mu}`

is the estimated mean, computed as the expected value using
the estimated parameters of a fitted `maxlogLreg`

model.

On the other hand, for `type = "response"`

the computation is simpler

`r^R_i = (y_i - \hat{\mu}_i).`

### Author(s)

Jaime Mosquera GutiĆ©rrez, jmosquerag@unal.edu.co

*EstimationTools*version 4.0.0 Index]