A set of tools for performing sparse Gaussian graphical model (joint, multiple and difference) estimation from high dimensional dataset. It contains a general purpose visualization function as well as a specialized function for 3d brain network. Simulation and evaluation modules are available. It also contains a simple GUI built in shiny for easy graph visualization. Methods include SIMULE (Wang B et al. (2017) <doi:10.1007/s1099401756357>), WSIMULE (Singh C et al. (2017) <arXiv:1709.04090v2>), DIFFEE (Wang B et al. (2018) <arXiv:1710.11223>), FASJEM (Wang B et al. (2018) <arXiv:1702.02715v3>), JEEK (Wang B et al. (2018) <arXiv:1806.00548>) and DIFFEEK (Wang B et al, under final review for publication).
Package details 


Author  Beilun Wang [aut], Yanjun Qi [aut], Zhaoyang Wang [aut, cre] 
Maintainer  Zhaoyang Wang <[email protected]> 
License  GPL2 
Version  1.0.0 
URL  https://github.com/QData/JointNets 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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