This class inherits from the
missing_data.frame-class but is customized for the situation where all the variables are categorical.
fit_model-methods for the allcategorical_missing_data.frame class
implement a Gibbs sampler. However, it does not utilize any ordinal information that
may be available. Continuous variables should be made into factors using the
cut command before calling
Objects can be created by calls of the form
However, its users almost always will pass a
data.frame to the
missing_data.frame function and specify the
The allcategorical_missing_data.frame class inherits from the
has three additional slots
Positive integer indicating the maximum number of latent classes
A list that holds the current realization of the unknown parameters
An object of
unordered-categorical-class that contains
the current realization of the latent classes
Sophie Si for the algorithm and Ben Goodrich for the R implementation
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