gRain integration

as.bn.fit

as.bn.fit.grain

as.grain

as.grain.bn.fit

an object of class <code>grain</code> (for <code>as.bn.fit</code>) or
    <code>bn.fit</code> (for <code>as.grain</code>).

 Convert <code>bn.fit</code> objects to <code>grain</code> objects and vice versa.

multivariate

utilities

Bayesian network structure learning, parameter learning and
inference.
This package implements constraint-based (GS, IAMB, Inter-IAMB, Fast-IAMB,
MMPC, Hiton-PC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing
and Tabu Search) and hybrid (MMHC and RSMAX2) structure learning algorithms
for discrete, Gaussian and conditional Gaussian networks, along with many
score functions and conditional independence tests.
The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are
also implemented.
Some utility functions (model comparison and manipulation, random data
generation, arc orientation testing, simple and advanced plots) are
included, as well as support for parameter estimation (maximum likelihood
and Bayesian) and inference, conditional probability queries and
cross-validation. Development snapshots with the latest bugfixes are
available from <http://www.bnlearn.com>.

Marco Scutari

bnlearn

Bayesian Network Structure Learning, Parameter Learning and
Inference

gRain integration function

Import and export networks from the gRain package — gRain integration

Import and export networks from the gRain package

gRain integration: Import and export networks from the gRain package

Description

Usage

Arguments

Value

Examples