CRAN/E | simule

simule

A Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models

Installation

About

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) doi:10.1007/s10994-017-5635-7.

github.com/QData/SIMULE
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 3.0.0
Published 2018-07-02 2289 days ago
Needs compilation? no
License GPL-2
CRAN checks simule results

Downloads

Yesterday 1 0%
Last 7 days 27 -58%
Last 30 days 186 +9%
Last 90 days 552 +6%
Last 365 days 2.281 +2%

Maintainer

Maintainer

Beilun Wang

Authors

Beilun Wang

aut / cre

Yanjun Qi

aut

Zhaoyang Wang

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

simule archive

Depends

R ≥ 3.0.0
lpSolve
pcaPP
igraph

Suggests

parallel