The 'StatModel' class contains a statistical model generate by the DTU analysis.
Models are created by the dedicated user-level function 'fitDTU()' or manually, using the 'StatModel()' constructor. In the former case, each quantitative feature is assigned its statistical model and the models are stored as a variable in a 'DataFrame' object, that in turn will be stored in the 'RowData' slot of an 'SummarizedExperiment object'.
'character(1)' defining type of the used model. Default is '"fitError"', i.e. a error model. If not an error, class type will be '"glm"'.
A 'list()' containing the parameters of the fitted model.
'numeric()' of posterior variance.
'numeric()' of posterior degrees of freedom.
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