MichaelFolkes/forecastR_package: Forecast stuff

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

Getting started

Package details

MaintainerMichael Folkes <michael.folkes@dfo-mpo.gc.ca>
LicenseGPL (>= 2)
Version0.0.0.9000
URL https://github.com/MichaelFolkes/forecastR_package
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("MichaelFolkes/forecastR_package")
MichaelFolkes/forecastR_package documentation built on April 4, 2021, 5:14 a.m.