Predict Method for Poisson Mixtures
# S3 method for Pmix
predict(object, newdata, Loss = 2, newexposure = NULL,
...)fitted object of class "Pmix"
Values at which prediction is desired
Loss function used to generate prediction. Currently supported values: 2 to get mean predictions, 1 to get harmonic mean predictions, 0 to get modal predictions or any tau in (0,1) to get tau-th quantile predictions. The posterior harmonic mean is the Bayes rule for quadratic loss weighted by variances as in Clevenson and Zidek (1975).
exposure values for the predictions
optional arguments to predict
A vector of predictions
The predict method for Pmix objects will compute means, quantiles or
modes of the posterior according to the Loss argument. Typically,
newdata would be passed to predict
Clevenson, M. L. and Zidek, J. V. 1975. Simultaneous Estimation of the Means of Independent Poisson Laws, Journal of the American Statistical Association, 70, 698-705.