bnstruct (version 1.0)

learn.params: learn the parameters of a BN.

Description

Learn the parameters of a BN object according to a BNDataset using MAP (Maximum A Posteriori) estimation.

Usage

learn.params(bn, dataset, ess = 1, use.imputed.data = F)
"learn.params"(bn, dataset, ess = 1, use.imputed.data = FALSE)

Arguments

bn

a BN object.

dataset

a BNDataset object.

ess

Equivalent Sample Size value.

use.imputed.data

use imputed data.

Value

new BN object with conditional probabilities.

See Also

learn.network

Examples

## Not run: 
# ## first create a BN and learn its structure from a dataset
# dataset <- BNDataset("file.header", "file.data")
# bn <- BN(dataset)
# bn <- learn.structure(bn, dataset)
# bn <- learn.params(bn, dataset, ess=1)
# ## End(Not run)