Complete a Classification Regression Step
Methods dispatch appropriate typed fit methods based on the modeling object specified by the user and the feasible tx definitions. The value object returned depends on the underlying typed fit method.
.newClassificationFit(moClass, txObj, ...) ## S4 method for signature 'modelObj,TxInfoNoSubsets' .newClassificationFit(moClass, txObj, response, data, suppress, ...) ## S4 method for signature 'ModelObj_SubsetList,TxInfoWithSubsets' .newClassificationFit(moClass, data, response, txObj, suppress, ...) ## S4 method for signature 'modelObj,TxInfoWithSubsets' .newClassificationFit(moClass, txObj, response, data, suppress, ...)
moClass |
modeling object(s) defining the classification regression |
txObj |
TxObj defining the tx feasible sets |
... |
additional arguments. Ignored. |
data |
data.frame of covariates and tx received |
suppress |
logical indicating user's screen printing preference |
contrast |
vector of contrasts |
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