# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "greybox" in publications use:' type: software license: LGPL-2.0-only title: 'greybox: Toolbox for Model Building and Forecasting' version: 2.0.9 doi: 10.32614/CRAN.package.greybox abstract: 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. authors: - family-names: Svetunkov given-names: Ivan email: ivan@svetunkov.com repository: https://openforecast-org.r-universe.dev repository-code: https://github.com/config-i1/greybox commit: 78271b150844341ab1c971d7a3ee8232e828eb78 url: https://github.com/config-i1/greybox date-released: '2026-06-29' contact: - family-names: Svetunkov given-names: Ivan email: ivan@svetunkov.com