# "Set" functions To assign individual slots, use set functions ```r setPredCalibration(object) <- value ## S4 replacement method for signature 'ForecastData' setPredCalibration(object) <- value setPredTest(object) <- value ## S4 replacement method for signature 'ForecastData' setPredTest(object) <- value setOutcomeCalibration(object) <- value ## S4 replacement method for signature 'ForecastData' setOutcomeCalibration(object) <- value setOutcomeTest(object) <- value ## S4 replacement method for signature 'ForecastData' setOutcomeTest(object) <- value setModelNames(object) <- value ## S4 replacement method for signature 'ForecastData' setModelNames(object) <- value ``` ## Arguments - `object`: The object to which values are assigned. - `value`: Values to be assigned. ## Returns A data object of the class 'ForecastData' with the following slots: - **predCalibration**: An array containing the predictions of all component models for all observations in the calibration period. - **predTest**: An array containing the predictions of all component models for all observations in the test period. - **outcomeCalibration**: A vector containing the true values of the dependent variable for all observations in the calibration period. - **outcomeTest**: A vector containing the true values of the dependent variable for all observations in the test period. - **modelNames**: A character vector containing the names of all component models. If no model names are specified, names will be assigned automatically. ## Examples ```r ## Not run: data(calibrationSample) data(testSample) 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) ``` ## References Montgomery, Jacob M., Florian M. Hollenbach and Michael D. Ward. (2012). Improving Predictions Using Ensemble Bayesian Model Averaging. **Political Analysis**. 20 : 271-291. Montgomery, Jacob M., Florian M. Hollenbach and Michael D. Ward. (2015). Calibrating ensemble forecasting models with sparse data in the social sciences. **International Journal of Forecasting**. 31 :930–942.#' ## Author(s) Michael D. Ward and Jacob M. Montgomery and Florian M. Hollenbach

setFunctions function