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Toolbox for Model Building and Forecasting
Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
- Version2.0.2
- R version≥ 3.5.0
- LicenseLGPL-2.1
- Needs compilation?Yes
- Languageen-GB
- Last release08/27/2024
Documentation
Team
Ivan Svetunkov
Yves R. Sagaert
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- Imports7 packages
- Enhances1 package
- Suggests7 packages
- Linking To1 package
- Reverse Depends3 packages
- Reverse Imports8 packages
- Reverse Suggests1 package