bayes.bn: Bayesian posterior parameter estimates.

In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.

Description

A wrapper around ml.

Usage

  ## S3 method for class 'bn'
 bayes(x, data, nodes = seq_along(x),
    prior = "bdeu", ...)

Arguments

x	The Bayesian Network. An object of class 'bn'
data	A data frame
nodes	A subset of 1, ..., nNodes(x). A numeric vector.
prior	Only "qi" is implemented at the moment
...	Further arguments, passed to ml

Details

This is the probability. This is also the expectation. See Neapolitean p379.

Value

As ml

Examples

d <- data.frame(
  a = factor(c(1, rep(3, 2), rep(1, 7))),
  b = factor(c(2, rep(1, 2), 3, 3, rep(2, 5))),
  c = factor(c(2, rep(2, 3), rep(1, 6))),
  d = factor(c(1:3, 2:3, 1, 1, 3:2, 2))
)

net <- bn(integer(0), integer(0), integer(0), c(1, 2, 3))
bayes(net, d, prior = "qi")

rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.