Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.2-42) of this package.
Take me there.
deal (version 1.0-20)
Learning Bayesian Networks with Mixed Variables
Description
Bayesian networks with continuous and/or discrete variables can be learned and compared from data.
Copy Link
Link to current version
Version
Version
1.2-42
1.2-39
1.2-37
1.2-35
1.2-34
1.2-33
1.2-31
1.2-30
1.2-29
1.2-28
1.2-27
1.2-26
1.2-25
1.2-22
1.2-17
1.2-9
1.2-8
1.2-7
1.2-6
1.2-4
1.2-3
1.1-15
1.1-2
1.1-1
1.0-20
Install
install.packages('deal')
Monthly Downloads
447
Version
1.0-20
License
GPL version 2 or newer
Maintainer
Claus Dethlefsen
Last Published
November 9th, 2022
Functions in deal (1.0-20)
Search all functions
networkfamily
Collection of networks
timeslice
Prepare time series data for analysis with Deal
jointprior
Setup a joint prior distribution for the parameters
cycletest
Test if network contains a cycle
splash
Show a splash screen
addarrow
Adding/Turning/Removing arrows
addrandomarrow
Adding/Turning/Removing random arrows
insert
Insert/remove an arrow in network
genlatex
From a networkfamily, generate LaTeX output
rats
Weightloss of rats
makesimprob
Make a suggestion for simulation probabilities
nwfsort
Sort a list of networks
findex
Translation between indices in a multiway array
conditional
Calculate conditional distribution
network
Bayesian network data structure
autosearch
Autosearch
heuristic
Heuristic greedy search with random restart
nwequal
Test if the graphs of two networks are equal
perturb
Perturb a network
post
Calculation of parameter posteriors for continuous node
line
Prints a line of symbols
localmaster
Local master
simulation
Simulation of datasets with a given (in)dependency structure
learn
Learning networks and nodes
numbermixed
The number of distinct networks
nwfunique
Thin a list of networks
maketrylist
Create the full trylist
addarrows
Add arrows to/from node
elementin
Is a network element in a list of networks?
drawnetwork
Graphical interface for manipulation of networks
node
Nodes