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gRain (version 1.3-0)
Graphical Independence Networks
Description
Probability propagation in graphical independence networks, also known as Bayesian networks or probabilistic expert systems.
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Install
install.packages('gRain')
Monthly Downloads
1,728
Version
1.3-0
License
GPL (>= 2)
Maintainer
Søren Højsgaard
Last Published
October 17th, 2016
Functions in gRain (1.3-0)
Search all functions
finding
Set, retrieve, and retract finding in Bayesian network.
evidence-object
Evidence objects
extract-cpt
Extract conditional probabilities and clique potentials from data.
grain-generics
gRain generics
compile-cpt
Compile conditional probability tables / cliques potentials.
grain-evi
Set evidence in grain objects
cptable
Create conditional probability tables (CPTs)
grain-compile
Compile a graphical independence network (a Bayesian network)
grain-main
Graphical Independence Network
grain-evidence
Set evidence.
grain-predict
Make predictions from a probabilistic network
grain-simulate
Simulate from an independence network
repeatPattern
Create repeated patterns in Bayesian networks
set-jevidence
Set joint evidence in grain objects
grain-propagate
Propagate a graphical independence network (a Bayesian network)
load-save-hugin
Load and save Hugin net files
mendel
Mendelian segregation
querygrain
Query a network
logical
Conditional probability tables based on logical dependencies
internal-gRain
Internal functions for the gRain package
update.CPTgrain
Update a Bayesian network