This is an R implementation of a constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models (SIMULE). The SIMULE algorithm can be used to estimate multiple related precision matrices. For instance, it can identify contextspecific gene networks from multicontext gene expression datasets. By performing datadriven network inference from highdimensional and heterogenous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(simuleDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Ritambhara Singh, Yanjun Qi (2017)
Package details 


Author  Beilun Wang [aut, cre], Yanjun Qi [aut] 
Date of publication  20171101 06:29:20 UTC 
Maintainer  Beilun Wang <[email protected]> 
License  GPL2 
Version  1.2.0 
URL  https://github.com/QData/SIMULE 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.