Package: DiffNet 1.0.2
DiffNet: Identifying Significant Node Scores using Network Diffusion Algorithm
Designed for network analysis, leveraging the personalized PageRank algorithm to calculate node scores in a given graph. This innovative approach allows users to uncover the importance of nodes based on a customized perspective, making it particularly useful in fields like bioinformatics, social network analysis, and more.
Authors:
DiffNet_1.0.2.tar.gz
DiffNet_1.0.2.zip(r-4.7)DiffNet_1.0.2.zip(r-4.6)DiffNet_1.0.2.zip(r-4.5)
DiffNet_1.0.2.tgz(r-4.6-any)DiffNet_1.0.2.tgz(r-4.5-any)
DiffNet_1.0.2.tar.gz(r-4.7-any)DiffNet_1.0.2.tar.gz(r-4.6-any)
DiffNet_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DiffNet/json (API)
| # Install 'DiffNet' in R: |
| install.packages('DiffNet', repos = c('https://faren-f.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:0b5a051043. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 110 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-oldrel-arm64 | OK | 119 | ||
| windows-devel | OK | 81 | ||
| windows-release | OK | 63 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 89 |
Exports:actual_scoregraph_generationmultiple_testing_correctionnull_scorepval
Dependencies:assertthatclicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculation of diffusion score for each node | actual_score |
| dummy graph generation | graph_generation |
| Correction for multiple testing | multiple_testing_correction |
| Calculation of diffusion null scores for each node | null_score |
| Calculation of p-values for each score with respect to the null. | pval |
