| predict.HLmix {REBayes} | R Documentation |
Predict Method for HLmix
Description
Predict Method for Huber Location Mixtures
Usage
## S3 method for class 'HLmix'
predict(object, newdata, Loss = 2, newsigma = NULL, ...)
Arguments
object |
fitted object of class "HLmix" |
newdata |
Values 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. |
newsigma |
sigma values for the predictions |
... |
optional arguments to predict |
Details
The predict method for HLmix objects computes means, quantiles or
modes of the posterior according to the Loss argument. Typically,
newdata would be passed to predict. Note that if newdata
is simply equal to the original observations (denoising case) then the
Value
A vector of predictions
Author(s)
Roger Koenker
[Package REBayes version 2.56 Index]