Package: bnlearn
Type: Package
Title: Bayesian Network Structure Learning, Parameter Learning and
        Inference
Version: 5.2.1
Date: 2026-07-17
Depends: R (>= 4.4.0), methods
Suggests: parallel, graph, Rgraphviz, igraph, lattice, gRbase, gRain
        (>= 1.3-3), Rmpfr, gmp, glmnet
Authors@R: c(person(given = "Marco", family = "Scutari", role = c("aut", "cre"),
                    email = "scutari@bnlearn.com"),
             person(given = "Tomi", family = "Silander", role = "ctb"))
Maintainer: Marco Scutari <scutari@bnlearn.com>
Description: Bayesian network structure learning, parameter learning
        and inference. This package implements constraint-based (PC,
        GS, IAMB, Inter-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE
        and Chow-Liu), score-based (Hill-Climbing, Tabu Search,
        DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure
        learning algorithms for discrete, Gaussian, conditional
        Gaussian and zero-inflated 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, interventions,
        counterfactuals, cross-validation, bootstrap and model
        averaging. Development snapshots with the latest bugfixes are
        available from <https://www.bnlearn.com/>.
URL: https://www.bnlearn.com/
SystemRequirements: USE_C17
License: GPL (>= 2)
LazyData: yes
NeedsCompilation: yes
Packaged: 2026-10-15 09:39:58 UTC; root
Author: Marco Scutari [aut, cre], Tomi Silander [ctb]
Repository: https://scutari.r-universe.dev
Date/Publication: 2026-07-17 17:34:28 UTC
RemoteUrl: https://github.com/cran/bnlearn
RemoteRef: HEAD
RemoteSha: 7d44622a52c29c2d666a8661d048e2b5709a7944
