Wrappers for functions in the ‘gRain’ package to emulate some ‘RHugin’
functionality, allowing the building of Bayesian networks consisting of
discrete chance nodes incrementally, through adding nodes, edges and
conditional probability tables, the setting of evidence, whether ‘hard’
(boolean) or ‘soft’ (likelihoods), and querying marginal probabilities
and normalizing constants. Computations will typically not be so fast as
they are with ‘RHugin’, but this package should assist users without
access to ‘Hugin’ to use code written to use ‘RHugin’. I am grateful to
Therese Graversen for her contributions, especially the function
map.configurations, and to Søren Højsgaard for enhancements to his gRain
package that improve the performance of this package.
To install, type remotes::install_github(“petergreen5678/gRaven”)
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