Package: nutriNetwork 0.2.1
nutriNetwork: Structure Learning with Copula Graphical Model
Statistical tool for learning the structure of direct associations among variables for continuous data, discrete data and mixed discrete-continuous data. The package is based on the copula graphical model in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287>.
Authors:
nutriNetwork_0.2.1.tar.gz
nutriNetwork_0.2.1.zip(r-4.7)nutriNetwork_0.2.1.zip(r-4.6)nutriNetwork_0.2.1.zip(r-4.5)
nutriNetwork_0.2.1.tgz(r-4.6-any)nutriNetwork_0.2.1.tgz(r-4.5-any)
nutriNetwork_0.2.1.tar.gz(r-4.7-any)nutriNetwork_0.2.1.tar.gz(r-4.6-any)
nutriNetwork_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
nutriNetwork/json (API)
| # Install 'nutriNetwork' in R: |
| install.packages('nutriNetwork', repos = c('https://pariya.r-universe.dev', 'https://cloud.r-project.org')) |
- vfit - Baseline data from VFIT study
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ecf4a3ab10. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | OK | 120 | ||
| macos-release-arm64 | OK | 136 | ||
| macos-oldrel-arm64 | OK | 129 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 100 | ||
| windows-oldrel | OK | 99 | ||
| wasm-release | OK | 110 |
Exports:nutriNetworkselectnet
Dependencies:clicpp11glassogluegmmhugeigraphlatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigRcpprlangsandwichtmvtnormvctrszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Undirected Network for nutrition multivariate data | nutriNetwork-package |
| Reconstructs conditional (in)dependence networks among variables | nutriNetwork |
| plot for S3 class "nutriNetwork" | plot.nutriNetwork |
| Plot function for S3 class "select" | plot.select |
| Print function for S3 class "nutriNetwork" | print.nutriNetwork |
| Print function for S3 class "select" | print.select |
| Model selection for optimal graph estimation | selectnet |
| Baseline data from VFIT study | vfit |
