alarm

The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring.<dl class="dl-horizontal">
 <dt> alarm </dt><dd>An object of class 'bn' for 'alarm' dataset. See package bnlearn for detail.</dd>
</dl>

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

alarm function

Alarm dataset is an object of class <code>bn</code> or <code>bn.fit</code>. See package bnlearn for detail.

Format

The ALARM ("A Logical Alarm Reduction Mechanism") is a Bayesian network designed to provide an alarm message system for patient monitoring.<dl class='dl-horizontal'>
 <dt> alarm </dt><dd>An object of class 'bn' for 'alarm' dataset. See package bnlearn for detail.</dd>
</dl>

alarm: One example dataset for \(p\)-plearning algorithm.

Description

Usage

Arguments

Format

References