Package: nutriNetwork 0.1.2
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_0.1.2.tar.gz
nutriNetwork_0.1.2.zip(r-4.5)nutriNetwork_0.1.2.zip(r-4.4)nutriNetwork_0.1.2.zip(r-4.3)
nutriNetwork_0.1.2.tgz(r-4.4-any)nutriNetwork_0.1.2.tgz(r-4.3-any)
nutriNetwork_0.1.2.tar.gz(r-4.5-noble)nutriNetwork_0.1.2.tar.gz(r-4.4-noble)
nutriNetwork_0.1.2.tgz(r-4.4-emscripten)nutriNetwork_0.1.2.tgz(r-4.3-emscripten)
nutriNetwork.pdf |nutriNetwork.html✨
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 1 years agofrom:1fd0cf2d62. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 16 2024 |
| R-4.5-win | NOTE | Sep 16 2024 |
| R-4.5-linux | NOTE | Sep 16 2024 |
| R-4.4-win | OK | Sep 16 2024 |
| R-4.4-mac | OK | Sep 16 2024 |
| R-4.3-win | OK | Sep 16 2024 |
| R-4.3-mac | OK | Sep 16 2024 |
Exports:nutriNetworkselectnet
Dependencies:clicpp11glassogluegmmhugeigraphlatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigRcppRcppEigenrlangsandwichtmvtnormvctrszoo
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 |
