Measuring Contributions of Component Models to Ensemble Forecast Accuracy

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Documentation for package ‘modelimportance’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

aggregate.model_imp_tbl	Aggregate model importance scores across tasks to compute overall importance for each model
forecast_data_example	Example forecast outputs for modelimportance article vignette
forecast_data_ma_h1	Forecast outputs for Massachusetts, horizon 1, used in vignette runtime data
forecast_data_raw	Raw forecast outputs for get-started vignette
model_importance	Quantifies the contribution of ensemble component models to ensemble prediction accuracy for each prediction task.
print.model_imp_tbl	Print method for model importance score table
print.summary.model_imp_tbl	Print method for summary of model importance score table
summary.model_imp_tbl	Summary method for model importance score table
target_data_example	Example target data for modelimportance article vignette
target_data_ma	Target data for Massachusetts used in vignette runtime data
target_data_raw	Raw target data for get-started vignette