Forecast Combination Methods


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Documentation for package ‘ForecastComb’ version 1.3.1

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auto_combine Automated Forecast Combination
comb_BG Bates/Granger (1969) Forecast Combination Approach
comb_CLS Constrained Least Squares Forecast Combination
comb_CSR All Possible Combinations Forecast Averaging
comb_EIG1 Standard Eigenvector Forecast Combination
comb_EIG2 Bias-Corrected Eigenvector Forecast Combination
comb_EIG3 Trimmed Eigenvector Forecast Combination
comb_EIG4 Trimmed Bias-Corrected Eigenvector Forecast Combination
comb_InvW Inverse Rank Forecast Combination
comb_LAD Least Absolute Deviation Forecast Combination
comb_MED Median Forecast Combination
comb_NG Newbold/Granger (1974) Forecast Combination
comb_OLS Ordinary Least Squares Forecast Combination
comb_SA Simple Average Forecast Combination
comb_TA Trimmed Mean Forecast Combination
comb_WA Winsorized Mean Forecast Combination
cs_dispersion Compute Cross-Sectional Dispersion
electricity UK Electricity Supply 2007 - 2017
foreccomb Format Raw Data for Forecast Combination
foreccomb_res Result Rbject for the Forecast Combination Methods
plot.foreccomb_res Plot results from forecast combination model
predict.foreccomb_res Prediction function for Forecast Combinations
print.foreccomb_res_summary Summary of Forecast Combination
rolling_combine Dynamic Forecast Combination
summary.foreccomb_res Summary of Forecast Combination