Overview | A minimal one-dimensional example | Full reproducible examples | Quick Checks
Package: VNDesign 0.1.0
VNDesign: Virtual Noise Algorithm for Computing D-Optimal Designs with Correlated Observations
Provides an implementation of the Virtual Noise algorithm for D-optimal experimental designs under correlated observations. The package supports flexible covariance structures, multi-dimensional candidate sets, and analytical or numerical computation of regression gradients. It offers a unified framework for constructing design matrices, defining covariance models, and computing optimal design measures.
Authors:
VNDesign_0.1.0.tar.gz
VNDesign_0.1.0.zip(r-4.7-any)VNDesign_0.1.0.zip(r-4.6-any)VNDesign_0.1.0.zip(r-4.5-any)
VNDesign_0.1.0.tgz(r-4.6-any)VNDesign_0.1.0.tgz(r-4.5-any)
VNDesign_0.1.0.tar.gz(r-4.7-any)VNDesign_0.1.0.tar.gz(r-4.6-any)
VNDesign_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
VNDesign/json (API)
| # Install 'VNDesign' in R: |
| install.packages('VNDesign', repos = c('https://angelasebastia.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:6ee6b57eb0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 122 | ||
| source / vignettes | OK | 166 | ||
| linux-release | OK | 109 | ||
| macos-release | OK | 138 | ||
| macos-oldrel | OK | 203 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 90 |
Exports:build_Sigmabuild_Xchi_gradbuild_Xchi_numericefficiency_boundexact_designplot_convergenceplot_design_weightsplot_efficiencyvirtual_noise_Doptvndesign_Dopt
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build a covariance matrix Sigma | build_Sigma |
| Build chi using an analytical gradient | build_Xchi_grad |
| Build chi via centered finite differences | build_Xchi_numeric |
| Compute an efficiency lower bound for a given design | efficiency_bound |
| Convert a Virtual Noise design measure into an exact design | exact_design |
| Plot convergence of the D-optimality criterion | plot_convergence |
| Plot design weights over the candidate set | plot_design_weights |
| Plot efficiency diagnostic | plot_efficiency |
| Virtual Noise algorithm for D-optimal design | virtual_noise_Dopt |
| Main interface for constructing D-optimal designs using the Virtual Noise algorithm | vndesign_Dopt |