# predict.crch

##### Predicted/Fitted Values for CRCH Fits

Obtains various types of predictions for `crch`

models.

- Keywords
- regression

##### Usage

```
# S3 method for crch
predict(object, newdata = NULL, type = c("location", "scale",
"response", "parameter", "density", "probability", "quantile", "crps"),
na.action = na.pass, at = 0.5, left = NULL, right = NULL, …)
```

##### Arguments

- object
an object of class

`"crch"`

.- newdata
an optional data frame in which to look for variables with which to predict.

- type
type of prediction:

`"location"`

returns the location of the predicted distribution.`"scale"`

returns the scale of the predicted distribution.`"response"`

returns the expected value of the predicted distribution (not equal to location for censored and truncated distributions).`"parameter"`

returns a data frame with predicted location and scale parameters.`"density"`

evaluates the predictive density at`at`

.`"probability"`

evaluates the predictive CDF at`at`

.`"quantile"`

returns a matrix of predicted quantiles with quantile probabilities`at`

.`"crps"`

returns the CRPS of the predictive distributions at`at`

.- na.action
a function which indicates what should happen when the data contain

`NA`

s. Default is na.pass- at
a vector of values to evaluate the predictive density (

`type = "density"`

), probability (`type = "probability"`

), or CRPS (`type = "crps"`

) or a vector of quantile probabilities used for`type = "quantile"`

. Alternatively, with`at = "function"`

a function is returned that takes`at`

as an argument.- left
left censoring or truncation point. Only used for

`type = "quantile"`

. If NULL, censoring or truncation point is obtained from`object`

.- right
right censoring or truncation point. Only used for

`type = "quantile"`

. If NULL, censoring or truncation point is obtained from`object`

.- …
further arguments passed to or from other methods.

##### Value

For type `"response"`

, `"location"`

, or `"scale"`

a vector with
either the location or the scale of the predicted distribution.

For type `"quantile"`

a matrix of predicted quantiles each column
corresponding to an element of `at`

.

##### See Also

*Documentation reproduced from package crch, version 1.0-4, License: GPL-2 | GPL-3*