randnet: Random Network Model Estimation, Selection and Parameter Tuning

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

Documentation:

Reference manual:

randnet.html , randnet.pdf

Downloads:

Package source:	randnet_1.0.tar.gz
Windows binaries:	r-devel: randnet_1.0.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 dependencies:

Reverse imports:

GRANDpriv, HCD, NetworkReg

Linking:

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