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WeightedEnsemble  

Weighted Ensemble for Hybrid Model
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]
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:
No previous versions
Other packages that cited WeightedEnsemble R package
View WeightedEnsemble citation profile
Other R packages that WeightedEnsemble depends, imports, suggests or enhances
Complete documentation for WeightedEnsemble
Functions, R codes and Examples using the WeightedEnsemble R package
Full WeightedEnsemble package functions and examples
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