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WeightedEnsemble
View on CRAN: Click
here
Download and install WeightedEnsemble package within the R console
Install from CRAN:
install.packages("WeightedEnsemble")
Install from Github:
library("remotes")
install_github("cran/WeightedEnsemble")
Install by package version:
library("remotes")
install_version("WeightedEnsemble", "0.1.0")
Attach the package and use:
library("WeightedEnsemble")
Maintained by
Dr. Md Yeasin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.WeightedEnsemble . WeightedEnsemble results . WeightedEnsemble.pdf . WeightedEnsemble_0.1.0.tar.gz . WeightedEnsemble_0.1.0.zip . WeightedEnsemble_0.1.0.zip . WeightedEnsemble_0.1.0.zip . WeightedEnsemble_0.1.0.tgz . WeightedEnsemble_0.1.0.tgz . WeightedEnsemble_0.1.0.tgz . WeightedEnsemble_0.1.0.tgz . WeightedEnsemble_0.1.0.tgz . WeightedEnsemble_0.1.0.tgz . https://CRAN.R-project.org/package=WeightedEnsemble .
First Published: 2023-04-10
Latest Update: 2023-04-10
Description:
The weighted ensemble method is a valuable approach for combining forecasts. This algorithm employs several optimization techniques to generate optimized weights. This package has been developed using algorithm of Armstrong (1989) <doi:10.1016/0024-6301(90)90317-W>.
How to cite:
Dr. Md Yeasin (2023). WeightedEnsemble: Weighted Ensemble for Hybrid Model. R package version 0.1.0, https://cran.r-project.org/web/packages/WeightedEnsemble. Accessed 25 Feb. 2025.
Previous versions and publish date:
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