Bayesian network structure learning, parameter learning and inference

Documentation for package ‘bnlearn’ version 2.5

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

bnlearn-package

Bayesian network structure learning, parameter learning and inference.

-- A --

acyclic	Utilities to manipulate graphs
AIC.bn	Score of the Bayesian network
AIC.bn.fit	Utilities to manipulate fitted Bayesian networks
alarm	ALARM Monitoring System (synthetic) data set
all.equal.bn	Compare two different Bayesian networks
amat	Miscellaneous utilities
amat<-	Miscellaneous utilities
aracne	Local discovery structure learning algorithms
arc operations	Drop, add or set the direction of an arc
arc.strength	Measure arc strength
arcs	Miscellaneous utilities
arcs<-	Miscellaneous utilities
as.bn	Build a model string from a Bayesian network and vice versa
as.bn.character	Build a model string from a Bayesian network and vice versa
as.character.bn	Build a model string from a Bayesian network and vice versa
asia	Asia (synthetic) data set by Lauritzen and Spiegelhalter

-- B --

blacklist	Miscellaneous utilities
bn class	The bn class structure
bn-class	The bn class structure
bn.boot	Parametric and nonparametric bootstrap of Bayesian networks
bn.cv	Cross-validation for Bayesian networks
bn.fit	Fit the parameters of a Bayesian network
bn.fit class	The bn.fit class structure
bn.fit plots	Plot fitted Bayesian networks
bn.fit utilities	Utilities to manipulate fitted Bayesian networks
bn.fit-class	The bn.fit class structure
bn.fit.barchart	Plot fitted Bayesian networks
bn.fit.dnode	The bn.fit class structure
bn.fit.dotplot	Plot fitted Bayesian networks
bn.fit.gnode	The bn.fit class structure
bn.fit.histogram	Plot fitted Bayesian networks
bn.fit.qqplot	Plot fitted Bayesian networks
bn.fit.xyplot	Plot fitted Bayesian networks
bn.kcv class	The bn.kcv class structure
bn.kcv-class	The bn.kcv class structure
bn.moments	Structure variability of Bayesian networks
bn.net	Fit the parameters of a Bayesian network
bn.strength	The bn.strength class structure
bn.strength class	The bn.strength class structure
bn.strength-class	The bn.strength class structure
bn.var	Structure variability of Bayesian networks
bn.var.test	Structure variability of Bayesian networks
bnlearn	Bayesian network structure learning, parameter learning and inference.
boot.strength	Measure arc strength

-- C --

children	Miscellaneous utilities
children<-	Miscellaneous utilities
choose.direction	Try to infer the direction of an undirected arc
chow.liu	Local discovery structure learning algorithms
ci.test	Independence and Conditional Independence Tests
ci.test.character	Independence and Conditional Independence Tests
ci.test.data.frame	Independence and Conditional Independence Tests
ci.test.default	Independence and Conditional Independence Tests
ci.test.factor	Independence and Conditional Independence Tests
ci.test.numeric	Independence and Conditional Independence Tests
coef.bn.fit	Utilities to manipulate fitted Bayesian networks
coef.bn.fit.dnode	Utilities to manipulate fitted Bayesian networks
coef.bn.fit.gnode	Utilities to manipulate fitted Bayesian networks
compare	Compare two different Bayesian networks
constraint-based algorithms	Constraint-based structure learning algorithms
coronary	Coronary Heart Disease data set
cpdag	Find the equivalence class of a Bayesian network
cpdist	Perform conditional probability queries
cpquery	Perform conditional probability queries
custom.strength	Measure arc strength

-- D --

deal integration	bnlearn - deal package integration
degree	Miscellaneous utilities
directed	Utilities to manipulate graphs
directed.arcs	Miscellaneous utilities
discretize	Discretize data to learn discrete Bayesian networks
drop.arc	Drop, add or set the direction of an arc

-- E --

empty.graph

Generate empty or random graphs

-- F --

fast.iamb	Constraint-based structure learning algorithms
fitted.bn.fit	Utilities to manipulate fitted Bayesian networks
fitted.bn.fit.dnode	Utilities to manipulate fitted Bayesian networks
fitted.bn.fit.gnode	Utilities to manipulate fitted Bayesian networks

-- G --

gaussian.test	Synthetic (continuous) data set to test learning algorithms
graph generation utilities	Generate empty or random graphs
graph utilities	Utilities to manipulate graphs
graphviz.plot	Advanced Bayesian network plots
gs	Constraint-based structure learning algorithms

-- H --

hailfinder	The HailFinder weather forecast system (synthetic) data set
hamming	Compare two different Bayesian networks
hc	Score-based structure learning algorithms
hybrid algorithms	Hybrid structure learning algorithms

-- I --

iamb	Constraint-based structure learning algorithms
in.degree	Miscellaneous utilities
insurance	Insurance evaluation network (synthetic) data set
inter.iamb	Constraint-based structure learning algorithms

-- L --

leaf.nodes	Miscellaneous utilities
learn.mb	Constraint-based structure learning algorithms
learning.test	Synthetic (discrete) data set to test learning algorithms
lizards	Lizards' perching behaviour data set
local discovery algorithms	Local discovery structure learning algorithms
logLik.bn	Score of the Bayesian network
logLik.bn.fit	Utilities to manipulate fitted Bayesian networks

-- M --

marks	Examination marks data set
mb	Miscellaneous utilities
misc utilities	Miscellaneous utilities
mmhc	Hybrid structure learning algorithms
mmpc	Local discovery structure learning algorithms
model string utilities	Build a model string from a Bayesian network and vice versa
model2network	Build a model string from a Bayesian network and vice versa
modelstring	Build a model string from a Bayesian network and vice versa
modelstring<-	Build a model string from a Bayesian network and vice versa
moral	Find the equivalence class of a Bayesian network

-- N --

naive.bayes	Discrete naive Bayes classifiers
narcs	Miscellaneous utilities
nbr	Miscellaneous utilities
node ordering utilities	Utilities dealing with partial node orderings
node.ordering	Utilities dealing with partial node orderings
nodes	Miscellaneous utilities
nparams	Miscellaneous utilities
ntests	Miscellaneous utilities

-- O --

ordering2blacklist	Utilities dealing with partial node orderings
out.degree	Miscellaneous utilities

-- P --

parents	Miscellaneous utilities
parents<-	Miscellaneous utilities
path	Utilities to manipulate graphs
pdag2dag	Utilities to manipulate graphs
plot.bn	Plot a Bayesian network
predict.bn.fit	Utilities to manipulate fitted Bayesian networks
predict.bn.fit.dnode	Utilities to manipulate fitted Bayesian networks
predict.bn.fit.gnode	Utilities to manipulate fitted Bayesian networks
predict.bn.naive	Discrete naive Bayes classifiers

-- R --

random.graph	Generate empty or random graphs
rbn	Generate random data from a given Bayesian network
rbn.bn	Generate random data from a given Bayesian network
rbn.bn.fit	Generate random data from a given Bayesian network
residuals.bn.fit	Utilities to manipulate fitted Bayesian networks
residuals.bn.fit.dnode	Utilities to manipulate fitted Bayesian networks
residuals.bn.fit.gnode	Utilities to manipulate fitted Bayesian networks
reverse.arc	Drop, add or set the direction of an arc
root.nodes	Miscellaneous utilities
rsmax2	Hybrid structure learning algorithms

-- S --

score	Score of the Bayesian network
score-based algorithms	Score-based structure learning algorithms
set.arc	Drop, add or set the direction of an arc
shd	Compare two different Bayesian networks
skeleton	Utilities to manipulate graphs
snow integration	bnlearn - snow package integration
strength.plot	Arc strength plot

-- T --

tabu	Score-based structure learning algorithms

-- U --

undirected.arcs

Miscellaneous utilities

-- V --

vstructs

Find the equivalence class of a Bayesian network

-- W --

whitelist

Miscellaneous utilities