Package: WeightedEnsemble 0.1.0

WeightedEnsemble: Weighted Ensemble for Hybrid Model

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>.

Authors:Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut, cre]

WeightedEnsemble_0.1.0.tar.gz
WeightedEnsemble_0.1.0.zip(r-4.7)WeightedEnsemble_0.1.0.zip(r-4.6)WeightedEnsemble_0.1.0.zip(r-4.5)
WeightedEnsemble_0.1.0.tgz(r-4.6-any)WeightedEnsemble_0.1.0.tgz(r-4.5-any)
WeightedEnsemble_0.1.0.tar.gz(r-4.7-any)WeightedEnsemble_0.1.0.tar.gz(r-4.6-any)
WeightedEnsemble_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
WeightedEnsemble/json (API)

# Install 'WeightedEnsemble' in R:

install.packages('WeightedEnsemble', repos = c('https://yeasinstat.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 packages 229 downloads 1 exports 1 dependencies

Last updated from:5131e798b7. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	117
source / vignettes	OK	138
linux-release-x86_64	OK	84
macos-release-arm64	OK	82
macos-oldrel-arm64	OK	60
windows-devel	OK	93
windows-release	OK	58
windows-oldrel	OK	74
wasm-release	OK	91