greybox
type: Item
swMATH work ID: 39666
instance of: R package
software version identifier: 1.0.8
software version identifier: 0.2.0
software version identifier: 0.2.1
software version identifier: 0.2.2
software version identifier: 0.3.0
software version identifier: 0.3.1
software version identifier: 0.3.2
software version identifier: 0.3.3
software version identifier: 0.4.0
software version identifier: 0.4.1
software version identifier: 0.5.0
software version identifier: 0.5.1
software version identifier: 0.5.2
software version identifier: 0.5.3
software version identifier: 0.5.4
software version identifier: 0.5.5
software version identifier: 0.5.6
software version identifier: 0.5.7
software version identifier: 0.5.8
software version identifier: 0.5.9
software version identifier: 0.6.0
software version identifier: 0.6.1
software version identifier: 0.6.2
software version identifier: 0.6.3
software version identifier: 0.6.4
software version identifier: 0.6.6
software version identifier: 0.6.7
software version identifier: 0.6.8
software version identifier: 0.6.9
software version identifier: 0.7.0
software version identifier: 1.0.0
software version identifier: 1.0.1
software version identifier: 1.0.2
software version identifier: 1.0.3
software version identifier: 1.0.4
software version identifier: 1.0.5
software version identifier: 1.0.6
software version identifier: 1.0.7
software version identifier: 2.0.0
maintained by: Ivan Svetunkov
CRAN project: greybox
programmed in: R
MaRDI profile type: Software
last update: 2023-09-16T00:00:00Z
description: 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.
author: Ivan Svetunkov
copyright license: GNU Lesser General Public License, version 2.1
imports: stats
imports: generics
imports: graphics
imports: utils
imports: pracma
imports: nloptr
imports: statmod
imports: zoo
imports: texreg
imports: xtable
imports: methods
depends on software: R
source code repository: greybox
description: Toolbox for Model Building and Forecasting