S4 methods for `CalmrFit`

class.

## Usage

```
# S4 method for CalmrFit
show(object)
# S4 method for CalmrFit
predict(object, type = "response", ...)
# S4 method for CalmrFit
NLL(object)
# S4 method for CalmrFit
AIC(object, k = 2)
# S4 method for CalmrFit
BIC(object)
```

## Arguments

- object
A

`CalmrFit`

object.- type
A string specifying the type of prediction to generate.

- ...
Extra named arguments.

- k
Penalty term for

`AIC`

method.

## Value

`show()`

returns NULL (invisibly).`predict()`

returns a numeric vector.`NLL()`

returns the negative log likelihood of the model.`AIC()`

returns the Akaike Information Criterion (AIC) of the model.`BIC()`

returns the Bayesian Information Criterion (BIC) of the model.

## Details

With `type = "response"`

, the `predict()`

function
passed model responses to the link function used to fit the model.

The AIC is defined as `2*k - 2*-NLL`

, where k is a penalty
term and NLL is the negative log likelihood of the model.

The BIC is defined as `p*log(n) - 2*-NLL`

, where p is the number
of parameters in the model and n is the number of observations