abn

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.

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  installed size is 12.3Mb
  sub-directories of 1Mb or more:
    extdata   2.9Mb
    libs      7.2Mb

Package suggested but not available for checking: ‘INLA’

  installed size is 12.9Mb
  sub-directories of 1Mb or more:
    data      1.0Mb
    extdata   2.9Mb
    libs      7.7Mb

Package suggested but not available for checking: ‘INLA’

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    extdata   2.9Mb
    libs      1.8Mb

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Package suggested but not available for checking: ‘INLA’

Package suggested but not available for checking: ‘INLA’

  installed size is  6.9Mb
  sub-directories of 1Mb or more:
    extdata   2.9Mb
    libs      1.8Mb

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