# -------------------------------------------- # CITATION 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: 2.0.3.41005 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://config-i1.r-universe.dev repository-code: https://github.com/config-i1/greybox commit: f7555a575bfcf76af2622e37cab0c3470fe85f3a url: https://github.com/config-i1/greybox date-released: '2024-10-07' contact: - family-names: Svetunkov given-names: Ivan email: ivan@svetunkov.com