<p>SR0 is a simulated dataset for illustration our \(\psi\)-learning alogorithm.</p>

datasets

Provides an equivalent measure of partial correlation coefficients for high-dimensional Gaussian Graphical Models to learn and visualize the underlying relationships between variables from single or multiple datasets. You can refer to Liang, F., Song, Q. and Qiu, P. (2015) <doi:10.1080/01621459.2015.1012391> for more detail. Based on this method, the package also provides the method for constructing networks for Next Generation Sequencing Data, jointly estimating multiple Gaussian Graphical Models, constructing single graphical model for heterogeneous dataset, inferring graphical models from high-dimensional missing data and estimating moral graph for Bayesian network.

Bochao Jia

equSA

Learning High-Dimensional Graphical Models

SR0 function

<p>SR0 dataset is a \(100x200\) matrix. Each row represents a observation and each column represents a variable.</p>

SR0: One example dataset for \(\psi\)-learning alogorithm

Description

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References