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randnet  

Random Network Model Estimation, Selection and Parameter Tuning
View on CRAN: Click here


Download and install randnet package within the R console
Install from CRAN:
install.packages("randnet")

Install from Github:
library("remotes")
install_github("cran/randnet")

Install by package version:
library("remotes")
install_version("randnet", "0.7")



Attach the package and use:
library("randnet")
Maintained by
Tianxi Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-17
Latest Update: 2023-05-20
Description:
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 ). It also includes the consensus clustering of Gao et. al. (2014) , the method of moments estimation of nomination SBM of Li et. al. (2020) , and the network mixing method of Li and Le (2021) . It also includes the informative core-periphery data processing method of Miao and Li (2021) . The work to build and improve this package is partially supported by the NSF grants DMS-2015298 and DMS-2015134.
How to cite:
Tianxi Li (2017). randnet: Random Network Model Estimation, Selection and Parameter Tuning. R package version 0.7, https://cran.r-project.org/web/packages/randnet. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1 (2017-09-17 14:40), 0.2 (2019-02-12 21:50), 0.3 (2021-05-14 07:20), 0.4 (2021-06-08 09:00), 0.5 (2022-01-04 01:20)
Other packages that cited randnet R package
View randnet citation profile
Other R packages that randnet depends, imports, suggests or enhances
Complete documentation for randnet
Functions, R codes and Examples using the randnet R package
Some associated functions: BHMC.estimate . BlockModel.Gen . ConcensusClust . DCSBM.estimate . ECV.Rank . ECV.block . ECV.nSmooth.lowrank . InformativeCore . LRBIC . LSM.PGD . NCV.select . NMI . NSBM.Gen . NSBM.estimate . RDPG.Gen . RightSC . SBM.estimate . Smooth.Oracle . USVT . nSmooth . network.mixing.Bfold . network.mixing . randnet-package . reg.SP . reg.SSP . 
Some associated R codes: RCode.R .  Full randnet package functions and examples
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