R: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

# Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

## Documentation for package ‘diffee’ version 1.1.0

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

## Help Pages

diffee-package | estimating DIFFerential networks via an Elementary Estimator under a high-dimensional situation
cancer | Microarray data set for breast cancer
diffee | Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
exampleData | A simulated toy dataset that includes 2 data matrices (from 2 related tasks).
exampleData500 | 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.diffee | Plot diffee result specified by user input
returngraph | return igraph object from diffee result specified by user input