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]