GaussianMixtureResponse: Generate a Gaussian Mixture Response model

Description Usage Arguments Details Value

Description

Constructs a GaussianMixtureResponse object.

Usage

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Arguments

formula

an object of class formula (or one that can be coerced to that class): a symbolic description of the model to be fitted. For more details of model specification, see lm or glm.

ncomponent

number of mixture components.

fixed

a logical vector indicating whether model parameters are fixed or free

parStruct

a ParStruct object. If supplied, the fixed argument above will be ignored

data

(optional) data frame.

subset

(optional) subset.

weights

(optional) mixture weights.

ntimes

an optional vector with, for each repetition in the data, the total number of trials.

replicate

logical to indicate whether model parameters are identical for each replication in ntimes.

Details

The GaussianMixtureResponse function sets up a simple Normal finite mixture model.

Value

A (fitted) object of class GaussianMixtureResponse.



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