randnet (0.2)

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Random Network Model Selection and Parameter Tuning.

http://cran.r-project.org/web/packages/randnet

Model selection and parameter tuning procedures for a class of random network models. The model selection can be done by a general cross-validation framework called ECV from Li et. al. (2016) . Several other model-based and task-specific methods are also included, such as NCV from Chen and Lei (2016) , likelihood ratio method from Wang and Bickel (2015) , spectral methods from Le and Levina (2015) . Many network analysis methods are also implemented, such as the regularized spectral clustering (Amini et. al. 2013 ) and its degree corrected version and graphon neighborhood smoothing (Zhang et. al. 2015 ).

Maintainer: Tianxi Li
Author(s): Tianxi Li, Elizaveta Levina, Ji Zhu

License: GPL (>= 2)

Uses: AUC, entropy, irlba, Matrix, poweRlaw, RSpectra

Released 7 months ago.


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