| predict.GLVmix {REBayes} | R Documentation |
Predict Method for GLVmix
Description
Predict Method for Gaussian Location-scale Mixtures
Usage
## S3 method for class 'GLVmix'
predict(object, newdata, Loss = 2, ...)
Arguments
object |
Fitted object of class "GLVmix" |
newdata |
data.frame with components(t,s,m) at which prediction is desired |
Loss |
Loss function used to generate prediction: Currently supported values: 2 to get mean predictions, 1 to get median predictions, 0 to get modal predictions or any tau in (0,1) to get tau-th quantile predictions. |
... |
optional arguments to predict |
Details
The predict method for GLmix objects will compute means, quantiles or
modes of the posterior according to the Loss argument. Typically,
newdata would be passed to predict. Note that these predictions
are for the location parameter only.
Value
A vector of predictions
Author(s)
Roger Koenker
[Package REBayes version 2.56 Index]