R: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms

# Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms

## Documentation for package ‘EBMAforecast’ version 1.0.33

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

calibrateEnsemble | Calibrate an ensemble Bayesian Model Averaging model
calibrateEnsemble-method | Calibrate an ensemble Bayesian Model Averaging model
calibrationSample | Sample data Insurgency Predictions
compareModels | Function for comparing multiple models based on predictive performance
CompareModels-class | Function for comparing multiple models based on predictive performance
compareModels-method | Function for comparing multiple models based on predictive performance
EBMApredict | EBMApredict
EBMApredict-method | EBMApredict
ForecastData-class | An ensemble forecasting data object
makeForecastData | Build a ensemble forecasting data object
makeForecastData-method | Build a ensemble forecasting data object
plot-method | Summarize and Plot Ensemble models
presidentialForecast | Sample data Presidential Election
print-method | Print and Show methods for forecast data
setModelNames<- | "Set" functions
setModelNames<--method | "Set" functions
setOutcomeCalibration<- | "Set" functions
setOutcomeCalibration<--method | "Set" functions
setOutcomeTest<- | "Set" functions
setOutcomeTest<--method | "Set" functions
setPredCalibration<- | "Set" functions
setPredCalibration<--method | "Set" functions
setPredTest<- | "Set" functions
setPredTest<--method | "Set" functions
show-method | Print and Show methods for forecast data
summary-method | Summarize and Plot Ensemble models
SummaryForecastData-class | Summarize and Plot Ensemble models
testSample | Sample data Insurgency Predictions