# Measuring Contributions of Component Models to Ensemble Forecast Accuracy

## 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