SpecMix-class {demest} | R Documentation

## An S4 class to specify a Mix prior.

### Description

An object of class `SpecMix` specifies a non-parametric prior, based on a mix of normal distributions, that can be used for modelling interactions, particularly interactions involving time.

### Slots

`AComponentWeightMix`

  Scale for truncated half-t prior for `omegaComponentWeightMix`.

`ALevelComponentWeightMix`

  Scale for truncated half-t prior for `omegaLevelComponentWeightMix`.

`AVectorsMix`

  Scale for truncated half-t prior for `omegaVectorsMix`.

`along`

  The name of the "along" dimension.

`indexClassMaxMix`

  The maximum number of components that can be accommodated.

`maxLevelComponentWeight`

  The upper bound for values of `levelComponentWeightMix`.

`maxPhi`

  Maximum value for the damping parameter.

`minLevelComponentWeight`

  The lower bound for values of `levelComponentWeightMix`.

`minPhi`

  Minimum value for the damping parameter.

`multComponentWeightMix`

  Multiplier applied to the default value for `omegaComponentWeightMix`.

`multLevelComponentWeightMix`

  Multiplier applied to the default value for `omegaLevelComponentWeightMix`.

`multVectorsMix`

  Multiplier applied to the default value for `omegaVectorsMix`.

`nuComponentWeightMix`

  The degrees of freedom for the truncated half-t prior for `omegaComponentWeightMix`.

`nuLevelComponentWeightMix`

  The degrees of freedom for the truncated half-t prior for `omegaLevelComponentWeightMix`.

`nuVectorsMix`

  The degrees of freedom for the truncated half-t prior for `omegaVectorsMix`.

`omegaComponentWeightMaxMix`

  Upper limit for truncated half-t prior for `omegaComponentWeightMaxMix`.

`omegaLevelComponentWeightMaxMix`

  Upper limit for truncated half-t prior for `omegalevelComponentWeightMaxMix`.

`omegaVectorsMaxMix`

  Upper limit for truncated half-t prior for `omegaVectorsMix`.

`phi`

  Damping parameter.

`phiKnown`

  Whether the damping parameter is known. or is estimated from the data.

`priorMeanLevelComponentWeightMix`

  Mean for normal prior for `meanLevelComponentWeightMix`.

`priorSDLevelComponentWeightMix`

  Standard deviation for normal prior for `meanLevelComponentWeightMix`

`shape1Phi`

  First 'sample size' parameter in beta prior for damping parameter.

`shape2Phi`

  Second 'sample size' parameter in beta prior for damping parameter.

### Warning

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

### See Also

Objects of class `SpecMix` are generated using function `Mix`.

[Package demest version 0.0.0.3.1 Index]