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 (via constraint-based,
        score-based and hybrid algorithms), parameter learning (via ML
        and Bayesian estimators) and inference.  This package
        implements the Grow-Shrink (GS) algorithm, the Incremental
        Association (IAMB) algorithm, the Interleaved-IAMB (Inter-IAMB)
        algorithm, the Fast-IAMB (Fast-IAMB) algorithm, the Max-Min
        Parents and Children (MMPC) algorithm, the Hiton-PC algorithm,
        the ARACNE and Chow-Liu algorithms, the Hill-Climbing (HC)
        greedy search algorithm, the Tabu Search (TABU) algorithm, the
        Max-Min Hill-Climbing (MMHC) algorithm and the two-stage
        Restricted Maximization (RSMAX2) algorithm for both discrete
        and 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 and inference, conditional probability
        queries and cross-validation.

gRain integration: Import and export networks from the gRain package

Description

Usage

Arguments

Value

Examples