randnet

Random Network Model Estimation, Selection and Parameter Tuning

CRAN Package

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) doi:10.48550/arXiv.1612.04717. Several other model-based and task-specific methods are also included, such as NCV from Chen and Lei (2016) doi:10.48550/arXiv.1411.1715, likelihood ratio method from Wang and Bickel (2015) doi:10.48550/arXiv.1502.02069, spectral methods from Le and Levina (2015) doi:10.48550/arXiv.1507.00827. Many network analysis methods are also implemented, such as the regularized spectral clustering (Amini et. al. 2013 doi:10.1214/13-AOS1138) and its degree corrected version and graphon neighborhood smoothing (Zhang et. al. 2015 doi:10.48550/arXiv.1509.08588). It also includes the consensus clustering of Gao et. al. (2014) doi:10.48550/arXiv.1410.5837, the method of moments estimation of nomination SBM of Li et. al. (2020) doi:10.48550/arXiv.2008.03652, and the network mixing method of Li and Le (2021) doi:10.48550/arXiv.2106.02803. It also includes the informative core-periphery data processing method of Miao and Li (2021) doi:10.48550/arXiv.2101.06388. The work to build and improve this package is partially supported by the NSF grants DMS-2015298 and DMS-2015134.


Team


Insights

Last 30 days

This package has been downloaded 304 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.

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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 4,253 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 20, 2024 with 89 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends5 packages
  • Imports6 packages
  • Reverse Imports2 packages