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:
WeightedEnsemble_0.1.0.tar.gz
WeightedEnsemble_0.1.0.zip(r-4.7-any)WeightedEnsemble_0.1.0.zip(r-4.6-any)WeightedEnsemble_0.1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:5131e798b7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 105 | ||
| source / vignettes | OK | 342 | ||
| linux-release | OK | 102 | ||
| macos-release | OK | 165 | ||
| macos-oldrel | OK | 154 | ||
| windows-devel | OK | 52 | ||
| windows-release | OK | 53 | ||
| windows-oldrel | OK | 47 | ||
| wasm-release | OK | 98 |
Exports:WeightedEnsemble
Dependencies:metaheuristicOpt
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weighted Ensemble for Hybrid Model | WeightedEnsemble |