Package: NetPreProc 1.2
NetPreProc: Network Pre-Processing and Normalization
Network Pre-Processing and normalization. Methods for normalizing graphs, including Chua normalization, Laplacian normalization, Binary magnification, min-max normalization and others. Methods to sparsify adjacency matrices. Methods for graph pre-processing and for filtering edges of the graph.
Authors:
NetPreProc_1.2.tar.gz
NetPreProc_1.2.zip(r-4.7)NetPreProc_1.2.zip(r-4.6)NetPreProc_1.2.zip(r-4.5)
NetPreProc_1.2.tgz(r-4.6-x86_64)NetPreProc_1.2.tgz(r-4.6-arm64)NetPreProc_1.2.tgz(r-4.5-x86_64)NetPreProc_1.2.tgz(r-4.5-arm64)
NetPreProc_1.2.tar.gz(r-4.7-arm64)NetPreProc_1.2.tar.gz(r-4.7-x86_64)NetPreProc_1.2.tar.gz(r-4.6-arm64)NetPreProc_1.2.tar.gz(r-4.6-x86_64)
NetPreProc_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
NetPreProc/json (API)
| # Install 'NetPreProc' in R: |
| install.packages('NetPreProc', repos = c('https://gvalentini58.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:32b12f3fae. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 117 | ||
| linux-devel-x86_64 | OK | 112 | ||
| source / vignettes | OK | 124 | ||
| linux-release-arm64 | OK | 111 | ||
| linux-release-x86_64 | OK | 187 | ||
| macos-release-arm64 | OK | 96 | ||
| macos-release-x86_64 | OK | 153 | ||
| macos-oldrel-arm64 | OK | 91 | ||
| macos-oldrel-x86_64 | OK | 169 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 124 | ||
| windows-oldrel | OK | 68 | ||
| wasm-release | OK | 105 |
Exports:Binary.matrix.by.threshcheck.networkChua.normDo.sim.matrix.PearsonLaplacian.normMagnify.binary.features.normMax.Min.normProb.normSparsify.matrixSparsify.matrix.fixed.neighbours
Dependencies:BiocGenericsgenericsgraph
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| NetPreProc | NetPreProc-package |
| Transforming a real-valued network matrix into a binary matrix | Binary.matrix.by.thresh Binary.matrix.by.thresh,graph-method Binary.matrix.by.thresh,matrix-method |
| Graph checking | check.network check.network,graph-method check.network,matrix-method |
| Chua normalization | Chua.norm Chua.norm,graph-method Chua.norm,matrix-method |
| Construction of the Pearson correlation matrix | Do.sim.matrix.Pearson |
| Laplacian graph normalization | Laplacian.norm Laplacian.norm,graph-method Laplacian.norm,matrix-method |
| Normalization of binary matrices | Magnify.binary.features.norm Magnify.binary.features.norm,matrix-method |
| Max-min graph normalization | Max.Min.norm Max.Min.norm,graph-method Max.Min.norm,matrix-method |
| Probabilistic normalization of a graph | Prob.norm Prob.norm,graph-method Prob.norm,matrix-method |
| Sparsifying the graph | Sparsify.matrix Sparsify.matrix,graph-method Sparsify.matrix,matrix-method |
| Sparsifying the graph by a fixed number of edges per node | Sparsify.matrix.fixed.neighbours Sparsify.matrix.fixed.neighbours,graph-method Sparsify.matrix.fixed.neighbours,matrix-method |
