breast

<p>Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets</p>

datasets

Structure learning and parameter estimation of discrete Bayesian networks using likelihood-based criteria.  Exhaustive search for fixed node orders and stochastic search of optimal orders via simulated annealing algorithm are implemented.

Nikolay Balov

catnet

Categorical Bayesian Network Inference

Peter Salzman

breast function

<p>A matrix containing 100 observations on 1214 genes.</p>

breast: Breast cancer data

Description

Usage

Arguments

Format