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ForecastComb  

Forecast Combination Methods
View on CRAN: Click here


Download and install ForecastComb package within the R console
Install from CRAN:
install.packages("ForecastComb")

Install from Github:
library("remotes")
install_github("cran/ForecastComb")

Install by package version:
library("remotes")
install_version("ForecastComb", "1.3.1")



Attach the package and use:
library("ForecastComb")
Maintained by
Christoph E. Weiss
[Scholar Profile | Author Map]
First Published: 2017-12-17
Latest Update: 2018-08-07
Description:
Provides geometric- and regression-based forecast combination methods under a unified user interface for the packages 'ForecastCombinations' and 'GeomComb'. Additionally, updated tools and convenience functions for data pre-processing are available in order to deal with common problems in forecast combination (missingness, collinearity). For method details see Hsiao C, Wan SK (2014). , Hansen BE (2007). , Elliott G, Gargano A, Timmermann A (2013). , and Clemen RT (1989). .
How to cite:
Christoph E. Weiss (2017). ForecastComb: Forecast Combination Methods. R package version 1.3.1, https://cran.r-project.org/web/packages/ForecastComb. Accessed 06 May. 2025.
Previous versions and publish date:
1.1 (2017-12-17 17:49), 1.2 (2018-05-17 23:30)
Other packages that cited ForecastComb R package
View ForecastComb citation profile
Other R packages that ForecastComb depends, imports, suggests or enhances
Complete documentation for ForecastComb
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