Hello R-team
I´ve got a question concerning the hierarchical partitioning function. If the
variables of a model fitted with glm (binomial)show a high joint effect, does
this necessarily only mean, that these variables are highly correlated and
therefor the model fitting was not optimal, or can it also be, that a high
joint contribution means, that the relevant variables only show there full
effects on the response Variable in combination with other parameters in the
model?
Many thanks
Christian Jones
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