Package: bnlearn
Type: Package
Title: Bayesian Network Structure Learning, Parameter Learning and
        Inference
Version: 5.3-20260901
Date: 2026-09-01
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: 2026-09-02 18:41:53 UTC; fizban
Author: Marco Scutari [aut, cre],
  Tomi Silander [ctb]
