modelParameters | 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 |
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)
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