MakeHierarchicalResponse - Build two-stage model from response feature models
Syntax
OK = MakeHierarchicalResponse(L,MLE)
Description
This method of mbcmodel.localresponse builds
a two-stage model from the response feature models and optionally
runs MLE (Maximum Likelihood Estimation). If there are more response
features than the number of parameters in the local model, the subset
of response features that leads to the best hierarchical response
is chosen. The best hierarchical response is chosen using PRESS
RMSE (root mean square prediction error — see PRESS statistic) if
all the response feature models are linear. Otherwise, the best hierarchical
response is chosen using Two-stage RMSE.
This performs a similar function to ChooseAsBest for
response models. You can call MakeHierarchicalResponse directly
or indirectly by calling CreateAlternativeModels for
a local model. If you call CreateAlternativeModels for
a local model, MakeHierarchicalResponse is called
automatically.
If the local and response models are not ready to calculate
a two-stage model, an error is generated. This situation can occur
if you have created alternative models and not chosen the best. A
sufficient number of response features models to calculate the two-stage
model must be selected.
L is the local model object.
MLE can be true or false.
If true, MLE will be calculated.
Examples
OK = MakeHierarchicalResponse(L, true)
See Also
ChooseAsBest
 | LocalResponses | | MatchInputs |  |
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