initialize: The method 'initialize' in IPPModel class
In XZPackage/IPPModel: Impact pattern plots and feature interaction networks

The method initializes some fields and generate the field ParaTable by calling the method GenerateParaTable.

1 2	initialize(XDS, PredFun, PredType, PredDim=1, ModelPackage, XB.Size=200, XB.SamplingMethod="joint")

`XDS`	a data.frame, the dataset of input features. It is assigned to the field X.Data.
`PredFun`	an object, the prediction function. It is assigned to the field Pred.Fun.
`PredType`	a string, the type of prediction. It is assigned to the field Pred.Type.
`PredDim`	an integer, indicating which class is predicted. This field is used only for classification model. It is assigned to the field Pred.Dimension.
`ModelPackage`	a string, the package name of the interpreted machine learning model, such as "nnet" and "randomforest". It is assigned to the field Model.Package.
`XB.Size`	an integer, the size of XB.Sample. It is assigned to the field XB.Size.
`XB.SamplingMethod`	a string, the sampling method of XB.Sample, "joint" or "independent". "joint" means that all features are sampled from X.Data jointly. "independent" means that each feature is sampled independently; then all features are combined randomly. It is assigned to the field XB.SamplingMethod.