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deal (version 1.2-8)
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
550
Version
1.2-8
License
GPL version 2 or newer
Maintainer
Claus Dethlefsen
Last Published
November 9th, 2022
Functions in deal (1.2-8)
Search all functions
learn
Estimation of parameters in the local probability distributions
score
Network score
makesimprob
Make a suggestion for simulation probabilities
drawnetwork
Graphical interface for editing networks
prob
Local probability distributions
network
Bayesian network data structure
networkfamily
Generates and learns all networks for a set of variables.
jointprior
Calculates the joint prior distribution
deal-internal
deal internal functions
insert
Insert/remove an arrow in network
nwfsort
Sorts a list of networks
maketrylist
Creates the full trylist
genlatex
From a network family, generate LaTeX output
node
Representation of nodes
numbermixed
The number of possible networks
unique.networkfamily
Makes a network family unique.
autosearch
Greedy search
readnet
Reads/saves .net file
perturb
Perturbs a network
Network tools
Tools for manipulating networks
rnetwork
Simulation of data sets with a given dependency structure
ksl
Health and social characteristics
rats
Weightloss of rats