CKT.predict.nNets | R Documentation |
Predict the values of conditional Kendall's tau using Model Averaging of Neural Networks
CKT.predict.nNets(fit, newZ, aggregationMethod = "mean")
fit |
result of a call to |
newZ |
new matrix of observations, with the same number of variables.
and same names as the |
aggregationMethod |
the method to be used to aggregate all the predictions
together. Can be |
CKT.predict.nNets
returns
a vector of (predicted) conditional Kendall's taus of the same size
as the number of rows of the matrix newZ
.
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