Description Usage Arguments Details Value References See Also
Predict new examples by a trained discriminant adaptive multinomial model.
1 2 |
object |
Object of class |
newdata |
A |
... |
Arguments passed to or from other methods. |
This function is a method for the generic function
predict()
for class "damultinom"
. It can be
invoked by calling predict(x)
for an object
x
of the appropriate class, or directly by calling
predict.damultinom(x)
regardless of the class of
the object.
In contrast to predict.multinom
predict.damultinom
does not have a type argument.
Both, the predicted posterior probabilities and the class
labels, are returned.
A list
with components:
class |
The predicted
class labels (a |
posterior |
Matrix of class posterior probabilities. |
Hand, D. J., Vinciotti, V. (2003), Local versus global models for classification problems: Fitting models where it matters, The American Statistician, 57(2) 124–130.
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
damultinom
, dannet
,
multinom
, nnet
.
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