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

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

## Documentation for package ‘simule’ version 1.3.0

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

simule-package | Shared and Individual parts of MULtiple graphs Explicitly
cancer | Microarray data set for breast cancer
exampleData | A simulated toy dataset that includes 2 data matrices (from 2 related tasks).
exampleDataGraph | A simulated toy dataset that includes 3 igraph objects
nip_37_data | NIPS word count dataset
plot.simule | Plot simule result specified by user input
returngraph | return igraph object from simule result specified by user input
simule | A constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models Estimate multiple, related sparse Gaussian or Nonparanormal graphical
wsimule | A constrained and weighted l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models