make.proposals: Make Proposals for Graph Modification
In simecek/mhnet: Metropolis-Hastings type simulation and inference for Bayesian Networks
Description
Usage
Arguments
Value
Examples
Description
Add a directed edge between two vertices and check for acycliclity.
Usage
1
make.proposals(nw, blacklist = NULL, whitelist = NULL)
Arguments
nw
A mhnet network
blacklist
2-column matrix or data.frame with forbidden edges (vertices as numbers)
whitelist
2-column matrix or data.frame with compulsory edges (vertices as numbers)
Value
Three column matrix. First column code for a type of modification
(1 is removal, 2 is addition, 3 is reversal).
Second and Third columns define edges to be modified.
Examples
1
2
3
4
rg <- bnlearn::tabu(learning.test)
nw <- import.bnlearn(rg)
make.proposals(nw)
make.proposals(nw, blacklist=data.frame(a=1:5,b=6), whitelist=data.frame(a=1,b=c(2,4)))
simecek/mhnet documentation built on May 29, 2019, 10:01 p.m.
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Description Usage Arguments Value Examples
Description
Add a directed edge between two vertices and check for acycliclity.
Usage
1 | make.proposals(nw, blacklist = NULL, whitelist = NULL)
|
Arguments
nw |
A |
blacklist |
2-column matrix or data.frame with forbidden edges (vertices as numbers) |
whitelist |
2-column matrix or data.frame with compulsory edges (vertices as numbers) |
Value
Three column matrix. First column code for a type of modification
(1 is removal, 2 is addition, 3 is reversal).
Second and Third columns define edges to be modified.
Examples
1 2 3 4 | rg <- bnlearn::tabu(learning.test)
nw <- import.bnlearn(rg)
make.proposals(nw)
make.proposals(nw, blacklist=data.frame(a=1:5,b=6), whitelist=data.frame(a=1,b=c(2,4)))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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