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Implements methods for generating, embedding, and clustering random networks and for estimating and selecting statistical network models. Provides SONNET (Subsampling ON NETwork), a scalable subsampling-based divide-and-conquer method for community detection described by Chakrabarty, Sengupta and Chen (2025) <doi:10.5705/ss.202022.0108>, and NETCROP (NETwork CRoss-validation using Overlapping Partitions), an overlapping-partition framework for network cross-validation, model selection, and regularization tuning described by Chakrabarty, Sengupta and Chen (2026) <doi:10.48550/arXiv.2504.06903>. Also includes spectral and latent-space methods, loss functions, and helper functions for statistical analysis of network data.
| Version: | 0.1.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cluster, irlba, Matrix, methods, Rcpp, RSpectra, tibble |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | entropy, future, future.apply, ggplot2, knitr, peakRAM, pkgdown, ps, rmarkdown, testthat (≥ 3.0.0), withr |
| Published: | 2026-09-27 |
| DOI: | 10.32614/CRAN.package.netOP (may not be active yet) |
| Author: | Sayan Chakrabarty |
| Maintainer: | Sayan Chakrabarty <sayanc at umich.edu> |
| BugReports: | https://github.com/sayan-ch/netOP/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: | 2026 Sayan Chakrabarty netOP copyright details |
| URL: | https://github.com/sayan-ch/netOP, https://sayan-ch.github.io |
| NeedsCompilation: | yes |
| Citation: | netOP citation info |
| Materials: | README, NEWS |
| CRAN checks: | netOP results |
| Reference manual: | netOP.html , netOP.pdf |
| Vignettes: |
Choosing a Method (source, R code) Getting Started with netOP (source, R code) |
| Package source: | netOP_0.1.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: netOP_0.1.2.zip |
| macOS binaries: | r-release (arm64): netOP_0.1.2.tgz, r-oldrel (arm64): netOP_0.1.2.tgz, r-release (x86_64): netOP_0.1.2.tgz, r-oldrel (x86_64): netOP_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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