Error-class {demest} | R Documentation

## S4 classes to specify error terms for priors.

### Description

An object of class `Error` holds the information required to construct an error term in a prior for a main effect or interaction. Errors can have a normal or t distributions. Error terms with normal distributions are described by objects of class `ErrorNorm`, and error terms with t distributions are described by objects of class `ErrorRobust`.

### Details

`ErrorNorm` and `ErrorRobust` are both subclasses of virtual class `Error`.

The `scale` parameters for the normal and t-distribution priors have truncated half-t priors.

### Slots

`nuBeta`

  Degrees of freedom for the t distribution. (`ErrorRobust` only).

`nuTau`

  Degrees of freedom for the prior for the `scale` parameter.

`ATau`

  Scale for the prior for the `scale` parameter.

`tauMax`

  Maximum value for the `scale` parameter.

### Warning

In normal usage, it should not be necessary to access, or even know about, the slots of an `Error` object. The slots are not part of the API of the package, and may change in future.

### See Also

Objects of class `Error` are created by a call to function `Error`.

[Package demest version 0.0.0.3.1 Index]