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Model fitting, model selection and parameter tuning procedures for a class of random network models. Many useful network modeling, estimation, and processing methods are included. The work to build and improve this package is partially supported by the NSF grants DMS-2015298 and DMS-2015134.
| Version: | 1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | methods, stats, poweRlaw, RSpectra, irlba, pracma, nnls, data.table, Rcpp, Matrix, entropy, AUC, sparseFLMM, mgcv |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2025-07-29 |
| DOI: | 10.32614/CRAN.package.randnet |
| Author: | Tianxi Li [aut, cre], Elizeveta Levina [aut], Ji Zhu [aut], Can M. Le [aut] |
| Maintainer: | Tianxi Li <tianxili at umn.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | randnet results |
| Reference manual: | randnet.html , randnet.pdf |
| Package source: | randnet_1.0.tar.gz |
| Windows binaries: | r-devel: randnet_0.7.zip, r-release: randnet_1.0.zip, r-oldrel: randnet_1.0.zip |
| macOS binaries: | r-release (arm64): randnet_1.0.tgz, r-oldrel (arm64): randnet_1.0.tgz, r-release (x86_64): randnet_1.0.tgz, r-oldrel (x86_64): randnet_1.0.tgz |
| Old sources: | randnet archive |
| Reverse imports: | HCD, NetworkReg |
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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.