exampleData: A simulated toy dataset that includes 2 data matrices (from 2...

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

Description

A simulated toy dataset that includes 2 data matrices (from 2 related tasks). Each data matrix is about 100 features observed in 200 samples. The two data matrices are about exactly the same set of 100 features. This multi-task dataset is generated from two related random graphs. Please run demo(simule) to learn the basic functions provided by this package. For further details, please read the original paper: <http://link.springer.com/article/10.1007/s10994-017-5635-7>.

Usage

data(exampleData)

Format

The format is: List of 2 matrices $ : num [1:200, 1:100] -0.0982 -0.2417 -1.704 0.4 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : NULL $ : num [1:200, 1:100] -0.161 0.41 0.17 0. ... ..- attr(*, "dimnames")=List of 2 .. ..$ : NULL .. ..$ : NULL

simule documentation built on May 1, 2019, 6:47 p.m.