model.sim: Simulate multivariate Gaussian data for a model
In montilab/shine: Structure Learning for Hierarchical Networks
Description
Usage
Arguments
Value
Description
Simulate multivariate Gaussian data for a model
Usage
1
model.sim(n, ig, seed = 1)
Arguments
n
The number of samples to generate data for
ig
An igraph object for the graph structure
seed
A number to seed the random data
Value
The true graph structure and multivariate gaussian data
montilab/shine documentation built on May 20, 2021, 4:22 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Simulate multivariate Gaussian data for a model
Usage
1 | model.sim(n, ig, seed = 1)
|
Arguments
n |
The number of samples to generate data for |
ig |
An igraph object for the graph structure |
seed |
A number to seed the random data |
Value
The true graph structure and multivariate gaussian data
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.