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deal (version 1.2-34)
Learning Bayesian Networks with Mixed Variables
Description
Bayesian networks with continuous and/or discrete variables can be learned and compared from data.
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Install
install.packages('deal')
Monthly Downloads
286
Version
1.2-34
License
GPL (>= 2)
Maintainer
Claus Dethlefsen
Last Published
November 2nd, 2011
Functions in deal (1.2-34)
Search all functions
perturb
Perturbs a network
prob
Local probability distributions
maketrylist
Creates the full trylist
score
Network score
jointprior
Calculates the joint prior distribution
makesimprob
Make a suggestion for simulation probabilities
deal-internal
deal internal functions
readnet
Reads/saves .net file
rnetwork
Simulation of data sets with a given dependency structure
node
Representation of nodes
networkfamily
Generates and learns all networks for a set of variables.
genlatex
From a network family, generate LaTeX output
nwfsort
Sorts a list of networks
Network tools
Tools for manipulating networks
unique.networkfamily
Makes a network family unique.
network
Bayesian network data structure
drawnetwork
Graphical interface for editing networks
insert
Insert/remove an arrow in network
numbermixed
The number of possible networks
learn
Estimation of parameters in the local probability distributions
autosearch
Greedy search
rats
Weightloss of rats
ksl
Health and social characteristics