tographviz
(Package: abn) :
Convert a dag into graphviz format
Given a matrix defining a DAG create a text file suitable for plotting with graphviz
● Data Source:
CranContrib
● Keywords: graphviz
● Alias: tographviz
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fitabn
(Package: abn) :
Fit an additive Bayesian network model
Fits an additive Bayesian network to observed data and is equivalent to Bayesian multi-dimensional regression modeling. Two numerical options are available, standard Laplace approximation or else an integrated nested Laplace approximation provided via a call to the R INLA library (see www.r-inla.org - this is not hosted on CRAN).
● Data Source:
CranContrib
● Keywords: models
● Alias: fitabn
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These are functions for either internal use or error checking and are not meant to be called by the user.
● Data Source:
CranContrib
● Keywords: internal
● Alias: calc.node.inla.glm, calc.node.inla.glmm
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mostprobable
(Package: abn) :
Find most probable DAG structure
Find most probable DAG structure using exact order based approach due to Koivisto and Sood, 2004
● Data Source:
CranContrib
● Keywords: models
● Alias: mostprobable
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search.hillclimber
(Package: abn) :
Find high scoring directed acyclic graphs using heuristic search
Find high scoring network (DAG) structures using a random re-starts greedy hill-climber heuristic search.
● Data Source:
CranContrib
● Keywords: models
● Alias: search.hillclimber
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buildscorecache
(Package: abn) :
Build a cache of goodness of fit metrics for each node in a DAG, possibly subject to user defined restrictions
Iterates over all valid parent combinations - subject to ban, retain and max. parent limits - for each node, or a subset of nodes, and computes a cache of log marginal likelihoods. This cache can then be used in different DAG structural search algorithms.
● Data Source:
CranContrib
● Keywords: laplace
● Alias: buildscorecache
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