<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Modelling Multivariate Data with Additive Bayesian Networks</dc:title>
  <dc:title>R package abn version 3.1.13</dc:title>
  <dc:subject>CRAN Task View: GraphicalModels (https://CRAN.R-project.org/view=GraphicalModels)</dc:subject>
  <dc:description>The 'abn' R package facilitates Bayesian network analysis, a
    probabilistic graphical model that derives from empirical data a
    directed acyclic graph (DAG). This DAG describes the dependency
    structure between random variables. The R package 'abn' provides
    routines to help determine optimal Bayesian network models for a given
    data set. These models are used to identify statistical dependencies
    in messy, complex data. Their additive formulation is equivalent to
    multivariate generalised linear modelling, including mixed models with
    independent and identically distributed (iid) random effects. The core
    functionality of the 'abn' package revolves around model selection,
    also known as structure discovery. It supports both exact and
    heuristic structure learning algorithms and does not restrict the data
    distribution of parent-child combinations, providing flexibility in
    model creation and analysis. The 'abn' package uses Laplace
    approximations for metric estimation and includes wrappers to the
    'INLA' package. It also employs 'JAGS' for data simulation purposes.
    For more resources and information, visit the 'abn' website.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: doParallel, foreach, glmmTMB, graph, jsonlite, lme4, mclogit,
methods, nnet, Rcpp, Rgraphviz, rjags, stringi</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: bookdown, boot, brglm, devtools (&gt;= 2.4.5), ggplot2,
gridExtra, INLA, knitr, Matrix, MatrixModels (&gt;= 0.5.3),
microbenchmark, R.rsp, RhpcBLASctl, rmarkdown, testthat (&gt;=
3.0.0), entropy, moments, R6</dc:relation>
  <dc:creator>Matteo Delucchi &lt;matteo.delucchi@math.uzh.ch&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Matteo Delucchi [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-9327-1496&gt;),
  Reinhard Furrer [aut] (ORCID: &lt;https://orcid.org/0000-0002-6319-2332&gt;),
  Gilles Kratzer [aut] (ORCID: &lt;https://orcid.org/0000-0002-5929-8935&gt;),
  Fraser Iain Lewis [aut] (ORCID:
    &lt;https://orcid.org/0000-0003-4580-2712&gt;),
  Jonas I. Liechti [ctb] (ORCID: &lt;https://orcid.org/0000-0003-3447-3060&gt;),
  Marta Pittavino [ctb] (ORCID: &lt;https://orcid.org/0000-0002-1232-1034&gt;),
  Kalina Cherneva [ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-12-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=abn</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.abn</dc:identifier>
</oai_dc:dc>