densityFunction-class {baySeq} | R Documentation

## Class `"densityFunction"`

### Description

This function fills the '@densityFunction' slot of a ‘countData’ object. It defines the distribution used to estimate posterior likelihoods, and associated values used in these calculations.

### Objects from the Class

Objects can be created by calls of the form `new("densityFunction", ...)`.

### Slots

`description`:

  A description of the distribution defined.

`density`:

  A `"function"`, defining the likelihood of a data array given observed data and hyperparameters.

`initiatingValues`:

  A `"list"` of functions (may be supplied as numerics) that define initial values of numeric prior discovery.

`equalOverReplicates`:

  A `"logical"`, describing which of the hyperparameters are equally marginally distributed over all groups, and which are not.

`lower`:

  A `"function"`, required to define the lower limit of optimisation in the case where only one hyperparameter is *not* equally marginally distributed over all groups.

`upper`:

  A `"function"`, required to define the upper limit of optimisation, as for ‘lower’, above.

`stratifyFunction`:

  An optional `"function"`, used to stratify the data for more accurate prior estimation.

`stratifyBreaks`:

  An optional `"numeric"`, used to define the number of strata in a stratification.

`nullFunction`:

  An optional `"function"` on the hyperparameters, used to generate a one-dimensional distribution which can be partitioned to identify ‘null’ data.

`orderingFunction`:

  An optional `"function"` for ordering the data between groups of a model.

`modifyNullPriors`:

  An optional `"function"` for modifying the priors for the ‘null’ data.

### Methods

No methods defined with class "densityFunction" in the signature.

### Author(s)

Thomas J. Hardcastle

### Examples

    showClass("densityFunction")

[Package baySeq version 2.16.0 Index]