CKT.predict.nNets {CondCopulas}

Predict the values of conditional Kendall's tau using Model Averaging of Neural Networks

Description

Predict the values of conditional Kendall's tau using Model Averaging of Neural Networks

Usage

CKT.predict.nNets(fit, newZ, aggregationMethod = "mean")

Arguments

fit

result of a call to CKT.fit.nNet

newZ

new matrix of observations, with the same number of variables. and same names as the designMatrix that was used to fit the neural networks.

aggregationMethod

the method to be used to aggregate all the predictions together. Can be "mean" or "median".

Value

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.