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greybox
View on CRAN: Click
here
Download and install greybox package within the R console
Install from CRAN:
install.packages("greybox")
Install from Github:
library("remotes")
install_github("cran/greybox")
Install by package version:
library("remotes")
install_version("greybox", "2.0.0")
Attach the package and use:
library("greybox")
Maintained by
Ivan Svetunkov
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-13
Latest Update: 2023-04-02
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.
How to cite:
Ivan Svetunkov (2018). greybox: Toolbox for Model Building and Forecasting. R package version 2.0.0, https://cran.r-project.org/web/packages/greybox
Previous versions and publish date:
0.2.0 (2018-03-13 16:13), 0.2.1 (2018-05-02 00:13), 0.2.2 (2018-05-25 09:32), 0.3.0 (2018-08-06 09:20), 0.3.1 (2018-09-11 01:00), 0.3.2 (2018-10-28 18:10), 0.3.3 (2018-11-30 09:00), 0.4.0 (2019-01-04 16:40), 0.4.1 (2019-01-27 23:50), 0.5.0 (2019-04-21 17:20), 0.5.1 (2019-04-28 08:50), 0.5.2 (2019-06-15 00:44), 0.5.3 (2019-07-31 15:40), 0.5.4 (2019-09-17 06:40), 0.5.5 (2019-09-20 15:10), 0.5.6 (2019-10-29 13:20), 0.5.7 (2019-12-10 20:10), 0.5.8 (2020-02-08 17:40), 0.5.9 (2020-03-29 10:20), 0.6.0 (2020-05-20 12:20), 0.6.1 (2020-08-10 19:20), 0.6.2 (2020-09-02 17:00), 0.6.3 (2020-10-20 09:00), 0.6.4 (2020-12-01 08:50), 0.6.6 (2021-01-08 14:50), 0.6.7 (2021-02-14 23:50), 0.6.8 (2021-03-12 22:10), 0.6.9 (2021-04-17 07:00), 0.7.0 (2021-05-20 06:50), 1.0.0 (2021-06-27 17:30), 1.0.1 (2021-09-22 10:50), 1.0.2 (2021-12-01 08:50), 1.0.3 (2022-01-26 20:42), 1.0.4 (2022-02-07 04:20), 1.0.5 (2022-03-25 08:50), 1.0.6 (2022-09-29 22:40), 1.0.7 (2022-12-22 16:10), 1.0.8 (2023-04-02 17:30)
Other packages that cited greybox R package
View greybox citation profile
Other R packages that greybox depends,
imports, suggests or enhances
Functions, R codes and Examples using
the greybox R package
Some associated functions: ALaplace . BCNormal . Distributions . FNormal . InformationCriteria . Laplace . LogitNormal . SDistribution . TPLNormal . accuracy . actuals . alm . association . coef.alm . coefbootstrap . cramer . detectdst . determination . error-measures . errorType . extractScale . gnorm . graphmaker . greybox . hm . implant . isFunctions . lmCombine . lmDynamic . mcor . measures . nparam . outlierdummy . pcor . pinball . plot.greybox . pointIC . pointLik . polyprod . predict.greybox . rectNormal . reexports . rmcb . ro . sm . spread . stepwise . tableplot . temporaldummy . xregExpander . xregMultiplier . xregTransformer .
Some associated R codes: RcppExports.R . alaplace.R . alm.R . association.R . bcnorm.R . ccd.R . coefbootstrap.R . cramer.R . detector-dst-leap.R . determination.R . distributions.R . error-measures.R . fnorm.R . gnorm.R . graphmaker.R . greybox-package.R . intermittentDemandIdentifier.R . isFunctions.R . laplace.R . lmCombine.R . lmDynamic.R . logitnorm.R . mcor.R . methods.R . nemenyi.R . pcor.R . rectnorm.R . rmcb.R . ro.R . scaler.R . spread.R . stepwise.R . svet.R . tableplot.R . temporaldummy.R . tplnorm.R . xregExpander.R . xregMultiplier.R . xregTransformer.R . zzz.R . Full greybox package functions and examples
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