Package: SCOR 1.0.0.2
SCOR: Spherically Constrained Optimization Routine
A non-convex optimization package that optimizes any function under the criterion, combination of variables are on the surface of a unit sphere.
Authors:
SCOR_1.0.0.2.tar.gz
SCOR_1.0.0.2.zip(r-4.7-any)SCOR_1.0.0.2.zip(r-4.6-any)SCOR_1.0.0.2.zip(r-4.5-any)
SCOR_1.0.0.2.tgz(r-4.6-any)SCOR_1.0.0.2.tgz(r-4.5-any)
SCOR_1.0.0.2.tar.gz(r-4.7-any)SCOR_1.0.0.2.tar.gz(r-4.6-any)
SCOR_1.0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SCOR/json (API)
| # Install 'SCOR' in R: |
| install.packages('SCOR', repos = c('https://synx21.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/synx21/scor/issues
- AL - Alzheimer's disease neuropsychometric marker dataset
Last updated from:7eddaa56a2. Checks:7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 282 | ||
| source / vignettes | OK | 188 | ||
| linux-release-x86_64 | WARNING | 278 | ||
| macos-release-arm64 | WARNING | 271 | ||
| macos-oldrel-arm64 | WARNING | 366 | ||
| windows-devel | WARNING | 249 | ||
| windows-release | WARNING | 251 | ||
| windows-oldrel | WARNING | 267 | ||
| wasm-release | OK | 93 |
Exports:estimate_EHUMestimate_SHUMestimate_ULBAoptimized_EHUMoptimized_SHUMoptimized_ULBASCORyouden_pointsYoupointsBoxPlot
Dependencies:codetoolsdoParallelforeachiterators
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Alzheimer's disease neuropsychometric marker dataset | AL |
| Empirical Hyper Volume Under Manifolds | estimate_EHUM |
| Smooth Approximations Of Empirical Hyper Volume Under Manifolds | estimate_SHUM |
| Upper And Lower Bound Approach | estimate_ULBA |
| Optimizing Different Estimators Of Hyper Volume Under Manifold | optimized_EHUM optimized_HUM optimized_SHUM optimized_ULBA |
| Spherically Constrained Optimization Routine | SCOR |
| Finding Youden Indices | youden_points |
| Visualization Based On Youden Indices. | YoupointsBoxPlot |
