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-4.5)DiffNet_1.0.2.zip(r-4.4)DiffNet_1.0.2.zip(r-4.3)
DiffNet_1.0.2.tgz(r-4.4-any)DiffNet_1.0.2.tgz(r-4.3-any)
DiffNet_1.0.2.tar.gz(r-4.5-noble)DiffNet_1.0.2.tar.gz(r-4.4-noble)
DiffNet_1.0.2.tgz(r-4.4-emscripten)DiffNet_1.0.2.tgz(r-4.3-emscripten)
DiffNet.pdf |DiffNet.html✨
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 10 months agofrom:0b5a051043. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 20 2024 |
| R-4.5-win | OK | Aug 20 2024 |
| R-4.5-linux | OK | Aug 20 2024 |
| R-4.4-win | OK | Aug 20 2024 |
| R-4.4-mac | OK | Aug 20 2024 |
| R-4.3-win | OK | Aug 20 2024 |
| R-4.3-mac | OK | Aug 20 2024 |
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 |
