ForecastR generates age-specific (or total abundance) forecasts of escapement or terminal run using a variety of generic models, enabling the users to perform the following interactive tasks with the help of SHINY interface. These tasks include: (a) the selection of forecasting approaches from a wide set of statistical and/or mechanistic models for forecasting terminal run, escapement or pre-fishery abundance (production); (b) the selection of several measures of retrospective forecast performance (e.g., MRE, MAE, MAPE, MASE, RMSE); (c) the comparison of best forecasting models and model ranking based on the selected performance metrics; and, (d) the reporting of forecasting results (point forecasts and interval forecasts) and diagnostics by producing either a detailed report or an executive-summary report. test
|Maintainer||Michael Folkes <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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