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.


Reference manual

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install.packages("randnet")

1.0 by Tianxi Li, a year ago


Browse source code at https://github.com/cran/randnet


Authors: Tianxi Li [aut, cre] , Elizeveta Levina [aut] , Ji Zhu [aut] , Can M. Le [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, stats, poweRlaw, RSpectra, irlba, pracma, nnls, data.table, Rcpp, Matrix, entropy, AUC, sparseFLMM, mgcv

Linking to Rcpp, RcppEigen


Imported by GRANDpriv, HCD, NetworkReg.

Suggested by netsubsamp.


See at CRAN