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]