modelParameters {ensembleBMA} | R Documentation |
Extracts model parameters for ensemble forecasting models.
modelParameters( fit, ...)
fit |
A model fit to ensemble forecasting data. |
... |
For ensemble fits involving dates, there is an additional dates
argument, giving a character representation of the dates for which
model parameters are desired. In this case dates must
correspond to the models in the fit and the default is to give
the model parameters for all available dates.
|
A list of parameters (including weights) corresponding to the ensemble forecasting model for the specified dates. The list may also include a power by which the forecasts were transformed to obtain the model parameters.
ensembleBMAgamma
,
ensembleBMAgamma0
,
ensembleBMAnormal
,
fitBMAgamma
,
fitBMAgamma0
,
fitBMAnormal
data(ensBMAtest) ensMemNames <- c("gfs","cmcg","eta","gasp","jma","ngps","tcwb","ukmo") obs <- paste("T2","obs", sep = ".") ens <- paste("T2", ensMemNames, sep = ".") tempTestData <- ensembleData( forecasts = ensBMAtest[,ens], dates = ensBMAtest[,"vdate"], observations = ensBMAtest[,obs], station = ensBMAtest[,"station"], forecastHour = 48, initializationTime = "00") ## Not run: # R check tempTestFit <- ensembleBMAnormal( tempTestData, trainingDays = 30) ## End(Not run) modelParameters( tempTestFit, date = "2008010100") tempTrain <- trainingData( tempTestData, date = "2008010100", trainingDays = tempTestFit$training$days) tempTrainFit <- fitBMAnormal( tempTrain) modelParameters( tempTrainFit)