An ensembleData object that includes ensemble
forecasts, observations and dates.
trainingDays
An integer specifying the number of days in the training period.
consecutive
If TRUE then dates in training set are treated as consecutive,
i.e. date gaps are ignored.
date
The date for which the training data is desired.
Value
An ensembleData object corresponding to the training data for
the given date relative to ensembleData.
References
A. E. Raftery, T. Gneiting, F. Balabdaoui and M. Polakowski,
Using Bayesian model averaging to calibrate forecast ensembles,
Monthly Weather Review 133:1155-1174, 2005.
J. M. Sloughter, A. E. Raftery, T. Gneiting and C. Fraley,
Probabilistic quantitative precipitation forecasting
using Bayesian model averaging,
Monthly Weather Review 135:3309–3320, 2007.
C. Fraley, A. E. Raftery, T. Gneiting and J. M. Sloughter,
ensembleBMA: An R Package for Probabilistic Forecasting
using Ensembles and Bayesian Model Averaging,
Technical Report No. 516R, Department of Statistics, University of
Washington, December 2008.
Available at: http://www.stat.washington.edu/research/reports/
C. Fraley, A. E. Raftery and T. Gneiting,
Calibrating multi-model forecast ensembles with exchangeable and missing
members using Bayesian model averaging, Monthly Weather Review
138:190-202, 2010.