Description Usage Arguments Details Value Author(s) References Examples
Predicted classification based on ‘glc’ model object.
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object |
object of class |
newdata |
a vector or a matrix containing new samples with which the classification prediction is to be made. |
seed |
numeric. The ‘seed’ used for the random number generator. |
... |
further arguments (currently unused). |
The function predict (or ‘simulate’) classification response of an observer whose noise and linear decision bounds are specified in object
.
The predicted category labels are matched with those used for the fit in object
.
If newdata
is missing, the predictions are made on the data used for the fit.
a vector of labels of categories to which each sample in newdata
is predicted to belong, according to the model in object
.
Author of the original Matlab routines: Leola Alfonso-Reese
Author of R adaptation: Kazunaga Matsuki
Alfonso-Reese, L. A. (2006) General recognition theory of categorization: A MATLAB toolbox. Behavior Research Methods, 38, 579-583.
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