BICbnnet: BIC as implemented in bnlearn
In simecek/mhnet: Metropolis-Hastings type simulation and inference for Bayesian Networks
Description
Usage
Arguments
Value
Note
See Also
Examples
Description
Convert mnnet network into bnlearn object and use BIC.bn to calculate the BIC.
Usage
1
BICbnnet(nw, dataset)
Arguments
nw
mnnet object
dataset
A data frame to use
Value
real number
Note
BIC is not calculated as usual -2*log-likelihood + log(n)*npar,
but as log-likelihood - log(n)*npar/2
See Also
Examples
1
2
3
4
rg <- tabu(learning.test)
nw <- import.bnlearn(rg)
BIC(rg, learning.test)
BICbnnet(nw, learning.test)
simecek/mhnet documentation built on May 29, 2019, 10:01 p.m.
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.
Description Usage Arguments Value Note See Also Examples
Description
Convert mnnet network into bnlearn object and use BIC.bn to calculate the BIC.
Usage
1 | BICbnnet(nw, dataset)
|
Arguments
nw |
|
dataset |
A data frame to use |
Value
real number
Note
BIC is not calculated as usual -2*log-likelihood + log(n)*npar, but as log-likelihood - log(n)*npar/2
See Also
Examples
1 2 3 4 | rg <- tabu(learning.test)
nw <- import.bnlearn(rg)
BIC(rg, learning.test)
BICbnnet(nw, learning.test)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.