simule: A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models
Version 1.2.0

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 context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional 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

AuthorBeilun Wang [aut, cre], Yanjun Qi [aut]
Date of publication2017-11-01 06:29:20 UTC
MaintainerBeilun Wang <[email protected]>
LicenseGPL-2
Version1.2.0
URL https://github.com/QData/SIMULE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("simule")

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simule documentation built on Nov. 17, 2017, 8 a.m.