Function index (in alphabetical order)

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

-- --

bnlearn-package Bayesian network structure learning.

-- 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
amat Miscellaneous utilities
amat<- Miscellaneous utilities
arc operations Drop, add or set the direction of an arc
arc.strength Measure the strength of the arcs present in the network
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 --

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.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.
boot.strength Bootstrap arc strength and direction

-- C --

children Miscellaneous utilities
children<- Miscellaneous utilities
choose.direction Try to infer the direction of an undirected arc
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
cpquery Perform conditional probability queries

-- D --

deal integration bnlearn - deal package integration
directed Utilities to manipulate graphs
directed.arcs Miscellaneous utilities
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
hc Score-based structure learning algorithms
hybrid algorithms Hybrid structure learning algorithms

-- I --

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

-- L --

leaf.nodes Miscellaneous utilities
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 --

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

-- O --

ordering2blacklist Utilities dealing with partial node orderings

-- 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

-- 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