Package: rope 1.0
Jonatan Kallus
rope: Model Selection with FDR Control of Selected Variables
Selects one model with variable selection FDR controlled at a specified level. A q-value for each potential variable is also returned. The input, variable selection counts over many bootstraps for several levels of penalization, is modeled as coming from a beta-binomial mixture distribution.
Authors:
rope_1.0.tar.gz
rope_1.0.tar.gz(r-4.5-noble)rope_1.0.tar.gz(r-4.4-noble)
rope_1.0.tgz(r-4.4-emscripten)rope_1.0.tgz(r-4.3-emscripten)
rope.pdf |rope.html✨
rope/json (API)
| # Install 'rope' in R: |
| install.packages('rope', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- scalefree - A simulated data set for a scale-free network of 200 nodes
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:7dd0192257. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
Exports:exploreexploregraphplotroperoperopegraphsymmetric.matrix2vectorvector2symmetric.matrix
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run first step of model fitting to find good penalization interval | explore |
| Convenience wrapper for 'explore' for adjacency matrices | exploregraph |
| Plot rope results | plotrope |
| FDR controlled model selection | rope |
| Convenience wrapper for 'rope' for adjacency matrices | ropegraph |
| A simulated data set for a scale-free network of 200 nodes | scalefree |
| Take upper half of matrix and convert it to a vector | symmetric.matrix2vector |
| Convert vector that represents half of a symmetric matrix into a matrix | vector2symmetric.matrix |