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modelParameters

Extract model parameters

Description

Extracts model parameters for ensemble forecasting models.

Usage

modelParameters( fit, ...)

Arguments

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.

Value

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.

See Also

Examples

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)
ensembleBMA

Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

v5.1.5
GPL (>= 2)
Authors
Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington.
Initial release
2018-01-18

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