Graphical Independence Networks

[Up] [Top]

Documentation for package ‘gRain’ version 1.3-0

Help Pages

A B C D E F G I L M N O P Q R S U V

-- A --

absorbEvi Set evidence in grain objects
absorbEvidence Set evidence.
absorbEvi_ Set evidence in grain objects
addEvi Set evidence in grain objects
addEvi<- Set evidence in grain objects
andtab Conditional probability tables based on logical dependencies
andtable Conditional probability tables based on logical dependencies
as.data.frame.grain_ev Evidence objects

-- B --

booltab Conditional probability tables based on logical dependencies

-- C --

compile-cpt Compile conditional probability tables / cliques potentials.
compile.CPTgrain Compile a graphical independence network (a Bayesian network)
compile.grain Compile a graphical independence network (a Bayesian network)
compile.POTgrain Compile a graphical independence network (a Bayesian network)
compileCPT Compile conditional probability tables / cliques potentials.
compilePOT Compile conditional probability tables / cliques potentials.
cptable Create conditional probability tables (CPTs)

-- D --

dropEvi Set evidence in grain objects
dropEvi<- Set evidence in grain objects

-- E --

evidence Set evidence in grain objects
evidence-object Evidence objects
evidence.grain Set evidence in grain objects
evidence<- Set evidence in grain objects
evidence<-.grain Set evidence in grain objects
extract-cpt Extract conditional probabilities and clique potentials from data.
extractCPT Extract conditional probabilities and clique potentials from data.
extractCPT.data.frame Extract conditional probabilities and clique potentials from data.
extractCPT.table Extract conditional probabilities and clique potentials from data.
extractPOT Extract conditional probabilities and clique potentials from data.
extractPOT.data.frame Extract conditional probabilities and clique potentials from data.
extractPOT.table Extract conditional probabilities and clique potentials from data.

-- F --

finding Set, retrieve, and retract finding in Bayesian network.

-- G --

getEvi Set evidence in grain objects
getEvidence Set evidence in grain objects
getFinding Set, retrieve, and retract finding in Bayesian network.
getHostClique Set evidence in grain objects
grain Graphical Independence Network
grain-compile Compile a graphical independence network (a Bayesian network)
grain-evi Set evidence in grain objects
grain-evidence Set evidence.
grain-generics gRain generics
grain-main Graphical Independence Network
grain-predict Make predictions from a probabilistic network
grain-propagate Propagate a graphical independence network (a Bayesian network)
grain-simulate Simulate from an independence network
grain.CPTspec Graphical Independence Network
grain.dModel Graphical Independence Network
grain.graphNEL Graphical Independence Network
grain.POTspec Graphical Independence Network

-- I --

insertEvi Set evidence in grain objects
insertJEvi Set joint evidence in grain objects
iplot.grain Graphical Independence Network
is.grain Graphical Independence Network
is.null_ev Evidence objects

-- L --

load-save-hugin Load and save Hugin net files
loadHuginNet Load and save Hugin net files
logical Conditional probability tables based on logical dependencies

-- M --

mendel Mendelian segregation

-- N --

new_ev Evidence objects
new_jev Set joint evidence in grain objects
nodeNames gRain generics
nodeNames.grain gRain generics
nodeStates gRain generics
nodeStates.grain gRain generics

-- O --

ortab Conditional probability tables based on logical dependencies
ortable Conditional probability tables based on logical dependencies

-- P --

pEvidence Set evidence in grain objects
pFinding Set, retrieve, and retract finding in Bayesian network.
plot.grain Graphical Independence Network
predict.grain Make predictions from a probabilistic network
print.CPTspec Compile conditional probability tables / cliques potentials.
print.grain_ev Evidence objects
print.grain_jev Set joint evidence in grain objects
propagate.grain Propagate a graphical independence network (a Bayesian network)
propagateLS Propagate a graphical independence network (a Bayesian network)
propagateLS__ Propagate a graphical independence network (a Bayesian network)
propagate__ Propagate a graphical independence network (a Bayesian network)

-- Q --

qgrain Query a network
querygrain Query a network
querygrain.grain Query a network

-- R --

repeatPattern Create repeated patterns in Bayesian networks
retractEvi Set evidence in grain objects
retractEvidence Set evidence.
retractEvi_ Set evidence in grain objects
retractFinding Set, retrieve, and retract finding in Bayesian network.
retractJEvi Set joint evidence in grain objects

-- S --

saveHuginNet Load and save Hugin net files
set-jevidence Set joint evidence in grain objects
setdiff_ev Evidence objects
setEvi Set evidence in grain objects
setEvidence Set evidence.
setEvi_ Set evidence in grain objects
setFinding Set, retrieve, and retract finding in Bayesian network.
setJEvi Set joint evidence in grain objects
setJEvi_ Set joint evidence in grain objects
simulate.grain Simulate from an independence network
subset.grain_ev Evidence objects
summary.CPTspec Compile conditional probability tables / cliques potentials.

-- U --

union_ev Evidence objects
universe gRain generics
universe.grain gRain generics
update.CPTgrain Update a Bayesian network

-- V --

varNames.grainEvidence_ gRain generics
varNames.grain_ev Evidence objects