Learning Bayesian Networks with Mixed Variables

A B D G H I J K L M N P R S U

-- A --

as.network	Tools for manipulating networks
autosearch	Greedy search

-- B --

Tools for manipulating networks

-- D --

Graphical interface for editing networks

-- G --

genlatex	From a network family, generate LaTeX output
genpicfile	From a network family, generate LaTeX output
getnetwork	Tools for manipulating networks
gettable	Greedy search
gettrylist	Tools for manipulating networks

-- H --

Greedy search

-- I --

Insert/remove an arrow in network

-- J --

Calculates the joint prior distribution

-- K --

ksl	Health and social characteristics

-- L --

learn	Estimation of parameters in the local probability distributions
localposterior	Local probability distributions
localprior	Local probability distributions
localprob	Local probability distributions

-- M --

makenw	Tools for manipulating networks
makesimprob	Make a suggestion for simulation probabilities
maketrylist	Creates the full trylist
modelstring	Tools for manipulating networks

-- N --

network	Bayesian network data structure
networkfamily	Generates and learns all networks for a set of variables.
node	Representation of nodes
nodes	Representation of nodes
numbermixed	The number of possible networks
nwfsort	Sorts a list of networks

-- P --

perturb	Perturbs a network
plot.network	Bayesian network data structure
plot.networkfamily	Generates and learns all networks for a set of variables.
plot.node	Representation of nodes
print.network	Bayesian network data structure
print.networkfamily	Generates and learns all networks for a set of variables.
print.node	Representation of nodes
prob	Local probability distributions

-- R --

rats	Weightloss of rats
readnet	Reads/saves .net file
remover	Insert/remove an arrow in network
rnetwork	Simulation of data sets with a given dependency structure

-- S --

savenet	Reads/saves .net file
score	Network score
size	Tools for manipulating networks

-- U --

unique.networkfamily

Makes a network family unique.