modelTieParam {tigre} | R Documentation

## Tie parameters of a model together.

### Description

groups of parameters of a model to be seen as one parameter during optimisation of the model.

### Usage

      modelTieParam(model, paramsList)

### Arguments

`model` | the model for which parameters are being tied together.
`paramsList` | indices of parameteres to group together. The indices are provided in a list. Each element in the list contains a vector of indices of parameters that should be considered as one parameter. Each group of parameters in each cell should obviously be mutually exclusive. Alternatively, the specification may consist of strings, which are interpreted as regular expressions that are matched against the parameter names returned by `modelExtractParam` or `kernExtractParam`, as appropriate fot the current object.

### Value

`model` | the model with the parameters grouped together.

### See Also

`modelExtractParam, modelExpandParam, modelGradient`.

### Examples

    # Create a multi kernel with two rbf blocks with bounded inverse widths
    invWidthBounds <- c(0.5, 2)
    kernType <- list(type="multi", comp=list())
    for (i in 1:2)
      kernType$comp[[i]] <- list(type="parametric", realType="rbf",
                                  options=list(isNormalised=TRUE,
                                    inverseWidthBounds=invWidthBounds))
    kern <- kernCreate(1, kernType)

    # Tie the inverse with parameters of the component RBF kernels
    kern <- modelTieParam(kern, list(tieWidth="inverseWidth"))
    kernDisplay(kern)

[Package tigre version 1.40.0 Index]