ForecastData-class {EBMAforecast}

An ensemble forecasting data object

Description

Objects of class ForecastData are used in the calibrateEnsemble function. Datasets should be converted into an object of class ForecastData using the makeForecastData function. Individual slots of the ForecastData object can be accessed and changed using the get and set functions respectively. Missing observations in the prediction calibration set are allowed.

Details

@slot predCalibration An array containing the predictions of all component models for the observations in the calibration period. @slot predTest An array containing the predictions of all component models for all the observations in the test period. @slot outcomeCalibration A vector containing the true values of the dependent variable for all observations in the calibration period. @slot outcomeTest A vector containing the true values of the dependent variable for all observations in the test period. @slot modelNames A character vector containing the names of all component models.

Examples

## Not run:  
data(calibrationSample)
data(testSample)

this.ForecastData <- makeForecastData(.predCalibration=calibrationSample[,c("LMER", "SAE", "GLM")],
.outcomeCalibration=calibrationSample[,"Insurgency"],.predTest=testSample[,c("LMER", "SAE", "GLM")],
.outcomeTest=testSample[,"Insurgency"], .modelNames=c("LMER", "SAE", "GLM"))

### to acces individual slots in the ForecastData object
getPredCalibration(this.ForecastData)
getOutcomeCalibration(this.ForecastData)
getPredTest(this.ForecastData)
getOutcomeTest(this.ForecastData)
getModelNames(this.ForecastData)

### to assign individual slots, use set functions

setPredCalibration(this.ForecastData)<-calibrationSample[,c("LMER", "SAE", "GLM")]
setOutcomeCalibration(this.ForecastData)<-calibrationSample[,"Insurgency"]
setPredTest(this.ForecastData)<-testSample[,c("LMER", "SAE", "GLM")]
setOutcomeTest(this.ForecastData)<-testSample[,"Insurgency"]
setModelNames(this.ForecastData)<-c("LMER", "SAE", "GLM")

## End(Not run)