bayes: Bayesian posterior parameter estimates.

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

Description

A generic

Usage

  bayes(x, ...)

Arguments

x	An object
...	Further arguments passed to method

See Also

bayes.bn, 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.